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Fake Disaster Tweet Detection Web-App Python Machine Learning Project

This project “Fake Disaster Tweet Detection” aims to help predict, whether a tweet weather it is fake or real. It uses the Multinomial Naïve Bayes approach for detecting fake or real tweets from existing datasets available on Kaggle. The classifier will be trained only on text data. Traditionally text analysis is performed using Natural Language Processing also known as NLP. Natural language processing is a field that comes under Artificial Intelligence. Its main focus is on letting computers understand human language and process it. NLP helps recognize and predict diseases using speech, it helps in sentiment analysis, cognitive assistant, spam detection, the healthcare industry, etc. In this project Training Data is pre-processed, then sent to the classifier, then and the classifier predicts weather the tweet is real or fake.

This project is made on Jupyter Notebook which is a part of Anaconda Navigator. This project ran successfully on Jupyter Notebook. The dataset was successfully loaded into the notebook. All the extra python packages which were required for project completion were also loaded into the notebook. The model is also deployed successfully using HTML, CSS, python, and flask.

The accuracy score on test data is 77.977%. average recall value is 0.775 and the average precision score is 0.775. Precision is used to calculate a number of correct positive predictions made by the model. The recall is used to calculate the number of correct positive predictions made out of all the positive predictions that could have been made.

System Design

System Flowchart

System Flowchart

Problem: To detect disaster tweets whether it’s fake or real using a machine learning algorithm. In this, the concept of Natural language Processing is used.

Identification of data: In this project, I have used a dataset available on Kaggle competition based on Natural language processing. This project works only on text data. It has five columns:

  1. Id: It tells the unique identification of each tweet
  2. Text: It tells the tweet in text form
  3. Location: It tells the place from where the tweet was sent and it can be blank
  4. Keyword: It tells a particular word in the tweet and it can be blank
  5. Target: It tells the actual value of the tweet weather it’s a real tweet or Fake

Data-preprocessing: First the preprocessing is done in the dataset which includes the removal of punctuations, then the removal of URLs, digits, non-alphabets, and contractions, then tokenization and removing Stopwords, and removing Unicode. Then lemmatization is done on the dataset. After preprocessing Countvectorizer is used to convert text data into numerical data as the classifier only works for numerical data. The dataset is then split into 70% training data and 30% test data.

Definition of Training Data: The training dataset which contains 70% of the whole dataset is used for training the model.

Algorithm Section: In this project Multinomial Naïve Bayes classifier algorithm is used for detecting disaster tweets whether they are fake or real.

Evaluation with test set: Several text samples are passed through the model to check whether the classification algorithm gives the correct result or not.

Prediction Model

Implementation Work Details

The data-set which is used in this project “Fake disaster tweet detection” is taken from the Kaggle competition “Natural Language Processing with Disaster Tweets”. The data set contains 7613 samples. This project works only on text data. It has five columns:

  • Id: It tells the unique identification of each tweet
  • Text: It tells the tweet in text form
  • Location: It tells the place from where the tweet was sent and it can be blank
  • Keyword: It tells a particular word in the tweet and it can be blank
  • Target: It tells the actual value of the tweet weather it’s a real tweet

Step 2: Data-Preprocessing

  1. Removing Punctuations: Punctuations are removed with the help of the following python code
  1. Removing URLs, digits, non-alphabets, _: True means it has HTTP, and False means it does not have HTTP
  1. Removing Contraction: It expands the words which are written in short form like can’t is expanded into cannot, I’ll is expanded into I will, etc.
  1. Lowercase the text, tokenize them, and remove Stopwords: Tokenizing means splitting the text into a list of tokens. Stopwords are the words in the text which does not provide additional meaning to the text.
  1. Lemmatizing: It converts any word into its root form like running, ran into a run.
  1. Countvectorizer:

Text cannot be used to train our model, it has to be converted into numbers that our computer can understand, so far in this project, Countvectorizer is used. Countvectorizer counts the number of times each word appears in a document. Countvectorizer works as:

Step1: It first identifies unique words in the complete dataset.

Step 2: then it will create an array of zeros for each sample of the same length as above Step 3: It then takes each word at a time and find its occurrence in each sample in the dataset. The number of times the word appears in the sample will replace the zero positioned at the word in the list. This will repeat for every word. 

Step 3: Model Used:

In this project, the Multinomial Naïve Bayes approach is used for detecting fake or real tweets from existing datasets available on Kaggle. Naïve Bayes classifier is based on the probability theorem “Bayes Theorem” and also has an assumption of conditional independence among every pair.

System Testing

This project is made on Jupyter Notebook which is a part of Anaconda Navigator. This project ran successfully on Jupyter Notebook. The dataset was successfully loaded into the notebook. All the extra python packages which were required for project completion were also loaded into the notebook. The model is also deployed successfully using HTML, CSS, python, and flask.

The machine learning model is evaluated we normally use classification accuracy which is the number of correct predictions divided by the total number of predictions.

This accuracy measuring technique works well when there is an equal number of samples in the dataset belonging to each class. The accuracy score on test data is 77.977%. average recall value is 0.775 and the average precision score is 0.775. Precision is used to calculate a number of correct positive predictions made by the model. The recall is used to calculate the number of correct positive predictions made out of all the positive predictions that could have been made.

  • Precision = True Positives / (True Positives + False Positives)
  • Recall = True Positives / (True Positives + False Negatives)

Conclusion

In this project only one classification algorithm is used which is Multinomial Naïve Bayes. First, the preprocessing is done in the dataset which includes the removal of punctuations, then removal of URLs, digits, non-alphabets, and contractions, then tokenization and removing Stopwords, and removing Unicode. Then lemmatization is done on the dataset. After preprocessing Countvectorizer is used to convert text data into numerical data as the classifier only works for numerical data. The dataset is then split into 70% training data and 30% test data. The accuracy score on test data is 77.977%. average recall value is 0.775 and the average f1 score is 0.775.

Future Scope

In the future, some other classification algorithms can also be tried on this dataset like KNN, Support vector machine (SVM), Logistic Regression, and even Deep learning algorithms can also be used which give very high accuracy. Vectorizing can be done using other methods like word2vec, Tf-Idf vectorizer, etc.

Download the Complete Project on ake Disaster Tweet Detection Web Application Python-based Machine Learning Project.

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Covid-19 Outbreak Prediction Using Machine Learning Python Project

The aim of this Covid-19 Outbreak Prediction project is to make a model which will forecast the number of confirmed cases covid-19 virus in the upcoming days. Covid-19 is an infectious disease that is affecting a huge number of people all around the world.

This virus was first identified in Wuhan, China, and later spread throughout the world causing a pandemic that forced most countries to go into lockdown.

Various machine learning models and time series forecasting models.

The predictive model will be created using machine learning and using the dataset obtained from Kaggle. Machine learning automates the formation of analytical models. It is a branch of artificial intelligence focused on the principle that data can be learned from processes, It can find patterns and take decisions.

Time series forecasting will be used which is a type of predictive model. Time series forecasting is the use of a model centered on earlier observed values to evaluate future values. 

INTRODUCTION

The aim of this project is to make a predictive model which will predict the trajectory of the outbreak of the covid-19 virus in the upcoming days. Covid-19 is an infectious disease that is affecting a huge number of people all around the world.

It was first identified in Wuhan, China, and then later spread all over the world causing a pandemic.

Since no vaccine is developed which can be available all throughout the world, we have to take preventive measures which can stop the spread of the disease. Since a lockdown cannot last forever, we have to know how fast the spread is and how much more people will be infected.

The predictive model will be created using machine learning and using the dataset obtained from Kaggle. Machine learning automates the formation of analytical models. It is a branch of artificial intelligence focused on the principle that data can be learned from processes, It can find patterns and take decisions.

Time series forecasting will be used which is a type of predictive model. Time series forecasting is the use of a model centered on earlier observed values to evaluate future values.

PRESENT SYSTEM

Various work on this problem related to covid-19 is being done. Officials all over the world are using several outbreak prediction models for covid-19 to make informed decisions and implement relevant control measures. Simple statistical models have received greater attention from authorities among the standard models for covid-19 global pandemic prediction. One of the works suggests using SEIR models. SEIR means susceptible-exposed-infected-recovered model.

This model aims to forecast factors like the spread of a disease, the total number of infected, and the span of an outbreak, and estimate different epidemiological parameters like the number of reproductive. Such models can illustrate how the outcome of the disease can be affected by various public health measures.

PROPOSED SYSTEM 

In this project, we will first collect and evaluate the dataset. We will transform the raw data into an accessible format and visualize it using data preprocessing. Various machine learning algorithms such as Linear regression, polynomial regression, SVM, holt’s linear model, Holt’s winter model, AR model, ARIMA model, and SARIMA model are used. The tools used in this project are mainly sklean for model selection, and NumPy library which is used to work with the arrays and pandas that use a key data structure called a data frame that allows us to store and manipulate tabular data in observation rows and variable columns, matplotlib is a library of plotting that is used to plot graphs. After implementing the model, the model with the least mean square error will be considered the best-fit model.

System Design 

The dataset is first preprocessed and visualized so that it is in a usable format for analysis. After this, we model the data using Linear regression, polynomial regression, SVM, holt’s linear model, Holt’s winter model, AR model, ARIMA model, and SARIMA. Then we evaluate the model and choose the best one according to its root mean square.

The flowchart depicts the following

Dataset 

The dataset involves the collection of data from various sources.

Data Pre-processing and visualization 

In order to obtain accurate results, data preprocessing is done to check if there is any inconsistency in the data, if there is it is handled accordingly. We then visualize the data to study the pattern and trends in the data.

Model Building 

Various models are used in this project-: Linear Regression

Polynomial Regression SVM

Holt’s Linear

Holt’s Winter Model

Auto Regressive Model (AR)

Moving Average Model (MA) ARIMA Model

SARIMA Model

DATASET

In this project, the dataset is taken from Kaggle which is the Novel Corona Virus 2019 Dataset and the goal is to study the effect and spread of COVID-19 in the coming days, and conduct predictions and time series forecasting.

Hardware and Software Details 

  •  Software Details Python 3.7(64-bit) Jupyter notebook

Implementation work details  

First, the data is pre-processed and visualization is done and analyzed. Afterward, various models are used to train the data and the model with the least root mean squared error is selected as the best fit model. Various machine learning models are used and time series forecasting models such as holt’s linear model and ARIMA model are used. The dataset is obtained from Kaggle.

Real-life applications 

It can be used by the government for predicting the extent of the spread of the infectious disease and take action accordingly.

Data implementation and program execution 

The data is analyzed and visualized afterward. On different models, the data is trained and the one with the least mean square error is considered to be the best fit model and can be used for forecasting. The program is executed on a Jupyter notebook.

Output Screens 

Fig: Growth of different types of cases in India

Fig: Confirmed cases Linear Regression Prediction

Fig: Polynomial Regression Prediction for confirmed cases

Fig: SVM regressor Prediction for confirmed cases

Fig: Holts Linear Model Prediction for confirmed cases

Fig: Holt’s Winter model prediction for confirmed cases

Fig: AR model prediction for confirmed cases

Fig: SARIMA model Prediction

System Testing 

In this project, the model evaluation part is very important as by the means of it we can identify which model can best fit the problem.

Here the models are evaluated on the basis of their root mean square error(rmse).

The root-mean-square variance (RMSD) or root-mean-square error (RMSE) is a commonly used calculation of the differences expected by the model or estimator between values (sample or population values) and the values observed.

According to the rmse values of all the models tested in the project, the one with the least rmse value was the SARIMA model. So it can be considered the best fit model for this problem.

Conclusion

 It is concluded that machine learning models can be used to forecast the spread of infectious diseases like Covid-19. In the project, we used various algorithms to forecast the rise of confirmed cases. It was observed among all the algorithms used, SARIMA had the least rmse so it was considered the best fit model for the data that was available.

Limitations

It is a new virus so only a year worth of dataset is available. Generally, the more data we have the better accuracy we get and we have to keep updating the data.

Scope for future work

 It can be implemented such that it can update its graphs or predictions according to real-time values.

Download the Complete project on Covid-19 Outbreak Prediction Using Machine Learning Python Project Code & Report.

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Prediction of the growth of Corona Virus Python Project

The upsurge of this disease is CORONA VIRUS has created a life-and-death situation in the world of the living. The virus is increasing day by day and effective lives. Machine Learning can be established very effectively in tracing the disease predicting its growth and forming an effective strategy in order to manage the effect of the virus. This report gives us a full glance and the best mathematical computation with modeling for predicting growth.

In an Corona Virus Prediction ML-based project, we come up with various computations and modeling to suspect or predict the growth of a particular dataset. Although this concept can be used on a dynamic dataset that is changing day to day, here in this report we will study a particular dataset.

Working on the dataset led to various challenges such as modeling different algorithms of machine learning but finally worked on them in order to get the best result. This report is an insight into the working brief of the project such as descriptive information about machine learning, algorithms, statistical description, and most important the programming language used here which is python.

INTRODUCTION

This deadly disease is caused by the spread of various germs and harmful bacteria(pathogens) which transmits from one human to many humans, from one animal to many, and from animal to human. Early diagnoses are curable, while the patients suffering from it with a maximum number of days are not 100% curable.

There is a need for innovation in predicting the growth with deep thorough analysis, of huge global data on the rise of the virus.

The Corona Virus Prediction project comprises two main features or methods we can say, first predicting and analyzing cumulative confirmed cases and then representing with visuals that are data visualization. The second one is predicting the growth of total, confirmed, and new cases and finding accuracy.

  • PRESENT SYSTEM

Many employers are working on the same data and with the same idea of predicting the growth of the virus by analyzing cases. The COVID crisis has led many colleges and students to work in teams to get into a solution against corona.

There are many ongoing types of research and many projects have already been developed in predicting creating awareness on the same

  • PROPOSED SYSTEM

Working on the dataset led to various challenges such as modeling different algorithms of machine learning but finally worked on them in order to get the best result. It is an insight into the working brief of the project such as descriptive information about machine learning, algorithms, statistical description, and most important the programming language used here which is python. 

System Design 

System Flow Chart

Data Dictionary 

Data Pre-Processing: Our dataset needs to be pre-processed. Therefore, data pre-processing is required in this project.

Definition of Training Set: The training set is the data that the algorithm will learn from. Learning looks different depending on which algorithm you are using.

Algorithm Selection: Our project has been implemented using various algorithms such as linear regression, random forest, and decision trees.

Decision Tree: In python, we use a decision tree to observe and figure out the trained data in the structure of the tree in order for any future implementation. Decision Tree, here the target variables take continuous values called regression tree. 

Implementation Work Details 

Libraries used

Numpy

It contains among other things:

  • a powerful N-dimensional array object
  • broadcasting Functions
  • Tools for integrating
  • Useful linear algebra etc.

Pandas

Pandas is an open-source, BSD-authorized library giving superior, simple-to-utilize information structures and information investigation apparatuses for the Python programming language.

  • Benefits:

Python has for some time been incredible for information munging and planning, however less so for information examination and display. pandas help fill this hole, empowering you to do your whole information examination work process in Python without changing to a more space-explicit language like R.

Joined with the amazing IPython toolbox and different libraries, the earth for doing information examination in Python exceeds expectations in execution, profitability, and the capacity to work together.

More work is as yet expected to make Python a top-notch measurable displaying condition.

Download the Complete Project on Prediction of the growth of Corona Virus Python Project Code and Report

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Android Application for learning Internal Examination Objective-Type Questions

According to the JNTU curriculum, students are capable of scoring 25% of the overall marks based on their performance in the internal i.e. Mid-Term examinations. In the internal examinations, each subject carries 25 marks, out of which 10 marks are allotted for subjective-type questions, 5 marks are allotted for assignments and the rest of the 10 marks are allotted for objective-type questions.

Students face many difficulties, especially while preparing for the objective type questions as the existing system i.e. previous year’s objective type question papers and their keys available in pdf format on JNTU-related websites & blogs, class notes, textbooks, etc. do not provide an effective way of learning. In the existing system, the student has to visit multiple websites to view and download previous question papers and most of the question papers are in pdf format where questions are listed on one page and answers are listed on another page which makes it the student difficult to read and learn, he will have to switch to two different pages in order to read one objective type question.

The student has to repeat this to learn all the questions which are time-consuming and inefficient to learn. In order to overcome these problems, we need to develop a system that can be accessed by the students(users) easily. We strongly believe that building an application on Android can solve the problems faced by the existing system.

PROBLEM STATEMENT:

Every semester, JNTU conducts two mid-term examinations consisting of 10 marks worth of multiple-choice questions and fill-in-the-blanks. In order to secure good marks in the internal examinations, students must be prepared with 4 units of each subject. They can prepare from multiple sources including notes, textbooks, references, and previous question papers. It is difficult and time-consuming to find and download all question papers as they are located at various sites.

We have to download these question papers and the question papers are in pdf files and their respective keys are in other pdf files. Hence it is often time-consuming and difficult for the students to prepare effectively for the bit paper of mid-examination.

MOTIVATION:

The marks secured in internal examinations play a vital role in improving the overall aggregate of students. Most of the students prepare well for the theory part of the internal exams as it has efficient and direct sources to prepare like notes, guides, textbooks, etc. but sadly, they are lethargic in preparing for the bit paper of internal examination. The reason behind this is that the sources for preparing for bit papers are not clear and are difficult to use. Hence it is important to build a new system using a new approach through which the students can easily prepare for the bit papers. This Internal Examination System should also be in such a way that it should be available and accessible to the majority of students. Therefore all the above factors led to the development of an android application for learning JNTU bits. This provides its users with a user-friendly interface and an effective way of learning the JNTU bits.

SCOPE:

This Internal Examination System software will be an Android application for Learning JNTU bits. This system will be designed to maximize the scope for the users to score higher grades in Mid-term examinations. This is done by preparing the user for Multiple Choice Questions (MCQ) and Fill-in-the-blank questions worth 10 Marks. This system provides a user-friendly environment for users. It can be accessed on the go at any time by the users. It provides a user interface in a hierarchical manner, hence it doesn’t lead to any confusion. This system also contains a relational database (using SQLite) containing a list of questions (BITS) and their corresponding answers for different branches and regulations.

OUTLINE:

This Internal Examination System application serves as an effective solution for students facing difficulties in preparing for the bit paper of an internal examination. There is no need for internet connectivity in order to use this application. This application provides an efficient user interface and is easy to operate. This application supports the features of android as it is built on Android. This application operates in either of the two modes (revision mode/learning mode) based on the requirement of the user. Therefore this application is user-friendly and also provides high performance.

EXISTING SYSTEM:

According to JNTU, every semester will have two mid-term examinations (except for the first year, as it only has three mid-exam for the academic year) consisting of 10 marks worth of multiple-choice questions and fill-in-the-blanks. Students must prepare for 4 units for each Mid-Term exam. As per the existing system, students prepare themselves for objective-type questions from multiple sources including textbooks, references, and previous question papers. Previous question papers are the most important source of questions as there is a high likelihood that a few or more questions will be repeated in the exam.

These papers are accessed via webpages (and/or) other sources in the form of PDFs/word documents. This generation of students is used to a fast-paced lifestyle. As the existing system is time-consuming and it deals with patience, most of the students ignore the preparation for objective-type questions. They might rather try their luck with objective-type questions during the internal exams. Hence this affects the student’s overall performance in internal exams.

DISADVANTAGES:

  • It is difficult and time-consuming to find and download all question papers as they are located at various
  • One cannot effectively form the question papers as questions and answers are located on different pages which leads to we can overcome the flaws of the existing system by making use of the proposed system that is mentioned below.

PROPOSED SYSTEM:

The marks obtained in internal examinations play an important role in improving the percentage of students. The system will be an Android application for learning JNTU bits. It will be a handy application for the users. The user shall be able to use this system whenever and wherever he/she wants. The user shall be able to prepare for different subjects’ objective-type questions from one single source i.e. with the help of the proposed system (Android application).

This Internal Examination System will be built with the intention to be highly beneficial for the users (especially for the students). We will build this system in such a manner that it would support most versions of the Android operating system. Therefore this system is intended to provide an optimized way of learning the objective type questions to the users.

ADVANTAGES:

  • Easy to access JNTU bits which are updated
  • Scoring-system for students to learn
  • Saves time by allowing users to switch to multiple subjects within seconds

Overall Description

Product Perspective:

To provide users with an optimized way of learning JNTU bits. This is done by providing the bits (Multiple Choice Questions and Fill in the Blanks) of various subjects in the application, which can be accessed easily by the users. The efficiency of learning is increased as this application can be operated in either of the two modes (learning mode and revision mode).

Product Functions:

The Internal Examination System is intended to perform the following functions:

  • It provides branch-wise objective-type questions for the user.
  • It also provides objective-type questions based on the
  • It allows the user to easily navigate through various subject’s objective-type question papers based on his/her
  • It acts as a platform for the users to learn the objective-type questions effectively using different modes:
  • Learning mode
  • Revision mode.
  • Learning mode: In this mode, the system provides a list of questions and when the user selects a particular question then the system displays that question along with options where the user is facilitated to select an option according to his choice and submit it then the system shows whether the user answered it correctly or not in this way it provides an active, comfortable and effective mechanism towards
  • Revision mode: In this mode, the users are provided with a list of questions along with answers to revise so that it does not waste time during
  • The system consists of a scoring system, which allows the user to self-assess.

User Documentation

The Internal Examination System will consist of in-built documentation which can be accessed via the help menu. The documentation will contain information about various functions of the system and how to utilize those functions in an effective manner.

External Interface Requirements

User Interfaces:

  •  This system display’s a welcome screen as an introduction for the first time for users.
  • After that, the system navigates to a new screen where the users shall be able to set their batch details.
  • Then the user shall be able to select the subject and the mid-term.
  • Now the user shall be able to attempt a question.
  • Then the user shall be able to view the correct answer.
  • The system displays the current mode (Learning, Revision) in the title bar.
  • The system provides a single space for choosing both modes and changing settings.
  • The user shall be able to view help and information.
  • The system provides the users with a single screen where all the questions are displayed and whether it was answered correctly.
  • Tabs to switch quickly both Multiple Choice questions and fill-in-the-blanks.
  • The user shall be able to exit the application.

Software Requirements

Operating System: Android 4.0.3 and above

FUNCTIONAL REQUIREMENTS:

The following are the three main scenarios of the Internal Examination System application:

Learning Mode:

Learning mode offers the user a chance to attempt a question before revealing the correct answer to the user. This gives the user feedback on whether their answer was correct or not.

It is given high priority as it is an essential part of the system without which users cannot become better at scoring good marks in objective-type questions in the internal examinations.

  • The user should select the current batch.
  • The user should select the current mid-term.
  • The user must select the appropriate subject.
  • The system should verify that the appropriate year and corresponding semester are selected. The system does not allow users to make erroneous selections.
  • The system should verify that only subjects in that semester are displayed and selected.
  • The user can select any question from a list of all the questions in that subject.
  • The user can view and answer the questions.
  • The system should be able to provide users with the correct answers in a clear manner. REQ-9: The system should be able to provide the option of loading the next Question.

Revision Mode

In this mode, the user can browse through all the questions provided in the application.

The correct option for the question is displayed to the user.

Revision mode is a high priority and is a fast-paced mode designed to enable the users to quickly revise the answers before the exam.

  • The user should select the current batch.
  • The user should select the current mid-term.
  • The user must select the appropriate subject.
  • The system should verify that the appropriate year and corresponding semester are selected. The system does not allow users to make erroneous selections.
  • The system should verify that only subjects in that semester are displayed and selected.
  • The user can select any question from a list of all the questions in that subject.
  • The system displays the question and its correct answer.
  • The system allows the user to load the next question.

Scoring System

The scoring system displays the total number of questions answered correctly and the score for each subject. It allows a user to assess their own progress while learning and allows them to compare their progress in different subjects.

The user can measure their own performance. It is difficult to assess themselves and understand their progress without a scoring system.

  • The system stores the total no. of questions answered by the user in an array.
  • The system should check whether the user answered a question correctly or incorrectly.
  • The system should assign a score based on the number of correctly answered questions.
  • The system displays the score on a total and per-subject basis.
  • The user can reset the score if needed. When the user resets the score the system displays attempted questions and their score as zero. The user can retake learning mode to start attempting the questions from the beginning.

NON-FUNCTIONAL REQUIREMENTS:

Safety Requirements

There are not many safety requirements with this application, other than any normal hazards of a mobile device. One such hazard is users, using this system when they are driving a vehicle. And on the other hand, the users are strictly suggested to use this system only for preparation purposes before the exam but not in the examination hall during the exam.

Security Requirements

A user cannot edit any question or answer stored in the database of the application. Android provides SQLite helper classes which are implemented in such a way that only classes belonging to our system may access the database. Additionally, our system utilizes the built-in security in Android operating systems which provides security to the user’s device through a password, pin, or pattern.

Software Quality Attributes

  1. Correctness: The data of the system e. objective type questions and their respective answers are collected from genuine sources like the JNTU University, websites, faculty, etc. And it is arranged in an error-free manner. Hence the system ensures correctness to its users.
  2. Flexibility: The system layout is in such a way that it can be accessed via both mobile and
  3. Usability: This system can be used on the go by the users. It provides a high degree of usability.
  4. Reliability: The user can completely rely on this system for effective learning of the objective type

CONCLUSION AND FUTURE SCOPE

This application is developed on Android. It is used to overcome the difficulties faced by the students while preparing for the bit paper of an internal examination. It introduces a modern way of learning JNTU bits to its users. The list of questions and keys present in the application are collected from reliable sources like textbooks, downloaded from the JNTU website, etc… hence the content provided by the application is reliable. The user interface of this application is simple, hence it can be operated with ease. This application allows the students (users) to learn the bits in an effective manner and hence this will help them to improve their overall aggregate.

In the future, we need to extend this application such that it can be used by students of all branches under JNTU i.e. EEE, Civil Engineering, Metallurgical Engineering, etc. so that majority of students can be benefitted. We can also add additional features to this application like marking the most important questions, practice tests with time limits, etc… At present, if we want to update this application, we need to uninstall it and again install the new version of the application. In the future process can be made easier by making it an online application. Efficient security methods should be provided to the application as it becomes online. The application should be able to run on the forthcoming versions of Android.

Download the Complete Android Application for learning Internal Examination Objective-Type Questions Project Code.

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Food Recipe Cross-Platform Android and IOS Application Project

Surely there are many Food Recipe Cross-Platform apps that offer a wide variety of options to choose from, but most of them are online only, and those that are offline lack either that multitude of options or are devoid of proper UX and structure.

Modules and Description:

1. Smart search filters:

Users can search or filter recipes by name-based ingredients and diet. When a user searches for an ingredient, all the related recipes to that ingredient will be shown to the user, and a search based on a diet is also displayed. For example, some people are allergic to some ingredients and wish not to include them in their meals. The user will be able to search the recipe based on diet or other requirement factors. The search filter will return the appropriate recipes depending on the type of search.

Search by name, base-ingredients, diets,.

2. Categorized view:

In our application, all recipes are categorized into various cuisine, food types, diets, and varieties. We collected the exclusive authentic recipes of various countries and their cuisines are categorized on the type of food and the specific diet that the user is seeking varieties.

Recipies are categorized into cuisine, food types, diets, vegan, etc,

3. Curated Collections:

We’ve gathered recipes from famous chefs around the world and listed their signature recipes and collected various information and data about these recipes from popular websites and articles.

Curated recipe collections from famous chefs, web articles, etc.

4. Pantry Manager:

Every user can manage their own personal pantry with the help of a pantry manager, which we have included in our application.

5. Meal Planner:

Manage your pantry using our pantry manager and Plan your meals for family dinners, parties, and other social gatherings.

6. Shopping list:

Add recipes to your shopping list and browse the required ingredients with a quick glance.

We have also given a feature where the user can add ingredients to the shopping list. So that the user can track all the missing ingredients and purchase them all at once later when he/she visits for grocery shopping. These shopping list features take out all the work for you, whether you want to share a virtual list with your family and friends, or check out the nutrition facts for whatever you’re buying. It can be used and created by more than just a cell phone, as some apps can integrate with smartwatches.

 7. Skill Guide and Glossary:

Under the skill guide and glossary section, we’ll provide the user with various information on cooking techniques. Like knife skills, etc., and including a ‘Dictionary’ to understand common culinary terminology. This section is basically dedicated to starters who do not have experience and match knowledge in cooking.

Offline wiki on knife skills, cooking techniques, and various other culinary skills including dictionary to better understand common culinary terms

Activity Diagram:

  • View Recipe

The user shall be able to see the recipes in the application. In other words, the user shall be able to access the Recipe Forum, where all the user’s recipes are posted and ordered by the date of creation. Our application allows users to view recipe lists with images and titles. Single recipes can be viewed with images, recipe titles, and details of cooking directions. 

  • Search for a Recipe

 The search functionality will provide the users with a shortcut to find their targeted recipes if posted before by the users.

  • View Ingredients

The user of the app shall be able to view the ingredients of a certain recipe.

  • Add Recipe as Favourite

Once the user accesses the recipe information, he/she shall be able to mark a recipe as a favorite. Our application allows users to save recipes as favorites. When a user performs a search operation, the result is a list of recipes. Each recipe in the list has a favorite button on it. Users can add recipes by clicking on the favorite button.

The user shall be able to access the recipes that he/she marked as favorites.

 Result Screen Shorts

  • Recipes are categorized in the form of cuisines (based on countries and origin).
  • Fast food items are categorized into Burgers, Pizza, Noodles, and Sausages.
  • We have also collected the signature dishes of some of the world-famous chefs under the Chefs Curated category.
  • We have a category named ‘Meals’, were further divided into 6 categories:

– Lunch

– Breakfast

– Dessert

– Dinner

– Salad

– Soups

  • We also have a special Category. Here, the user-specific recipes are collected. For instance collection of vegan recipes is included.

External Interface Requirements:

  • Hardware

The Food Recipe Cross-Platform mobile app will be operating on Android and iOS.

  • Software

The mobile app will be compatible with the mobile and tablet(Android app) last versions.

Developer Requirements:

Hardware Requirements:

  • OS: macOS-64bit and Windows 7 (64bit) or later
  • HDD:1.23GB if windows or 2.8GB if MacOS for Flutter SDK
  • RAM:4GB (minimum)
  • Processor: Intel i3 3rdgen or AMD equivalent

Software Requirements:

  • OS: macOS-64bit and Windows 7 (64bit) or later
  • Tools: Flutter SDK
  • Android Studio/Visual Studio Code or any other IDE supporting dart
  • Git
  • Windows Powershell 5.0(only for windows users) 

User Requirements: 

  • OS: Android Jellybean or newer and iOS 8 or newer
  • Hardware: iOS devices (iPhone 4s or newer) and ARM Android devices
  • Storage Space: ~200MB
  • RAM: 2GB

Conclusion:

  • So by using this application users can cook different recipes at their homes.
  • They can also manage their diet.
  • They can manage their time.

The Food Recipe Cross-Platform application meets with the enterprise-class application principles. It is designed to be performing, scalable, extensible, and highly available.

Future Scope:

In future work, I am planning to persist in developing more mobile apps and entering deeply the world of Android development. Food Recipe Cross-Platform has helped me to gain a lot of development skills and enrich my background, as I spent the previous 4 months searching for every tiny detail that concerns the development of android applications. Thankfully, I have built a good knowledge.

Therefore, any upcoming Food Recipe project of mobile application development will undoubtedly be within my reach. In addition, as to the future of Recipe Organizer, I will deploy it in Google PlayStore and update the app from time to time if necessary. I will export my database soon and then buy an account in Google PlayStore to publish the app. Also, I will monetize my application using Admob.

Download the complete Food Recipe Android and iOS App Project Code, Report, and PPT.

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Trip Planning and Booking System C#.Net Project

The main purpose of this project is to design a user-friendly, rich look application which serves for booking and planning their holiday trip…

This project consists of 2 modules

  1. Admin Module.
  2. User Module.

We will discuss the technical functions of each module in detail

  • Admin Module:

The role of the admin is to maintain the entire site data. Like adding primary information accepting the user booking. The total functionalities in the admin module are…

  • Add Country
  • Add City
  • Add Hotels
  • Adding Photos to Cities
  • Adding videos to Cities
  • Accepting the booking

In this project, we use web services for interacting with the database because using flex we cannot directly access the database… Here we will discuss each form’s functionalities.

  • Add Country:

In this functionality, the admin is adding different countries to the database. Here we are using the “InsertCountry” Method in the web service. Using this method in the web service we are accessing the stored procedure in database names “SP_InsertCountryDetails”. This is taking two values as parameters those are “Cname” and “Description”. Which are there inserted into the “Tbl_Country” table in the database.

  • Add City:

In this functionality, the admin is adding different city names with respect to a particular country name. Here we are using the “get the country” Method in the web service to access all the country names from the database which are stored in the table “Tbl_Country” and we are displaying it in the combo box in the flex design. Their admin will select any country name and he will enter a city in the textbox given in the form. When admin clicks on the entering button it will pass those values to “InsertCity” which is there in web service taking 3 parameters and we are storing it in the database using a stored procedure with the name “SP_CityDetails”.

  • Add Hotels:

In this functionality, the admin is adding particular hotel details in the database corresponding to a particular city and country. For that purpose, he is getting all the country details from the “get the country” Method in the web service to access all the country names from the database which are stored in the table “Tbl_Country”  and binds it to the combo box in the flex form. If admin selects any particular country it has to call all the cities with respect to countries for which we are using a web method “GetCityNames” it is taking country Id as a parameter and returns all the city details with respect to that country names. After binding all the data admin will enter the hotel details which then call a method in the web service called “InsertHotels” with all the parameters provided by the admin and it will store all the details in the database using the stored procedure “SP_HotelDetails”.

  • Adding photos:

In this functionality, the admin is adding particular Photo details in the database corresponding to a particular city and country. For that purpose, he is getting all the country details from “get country” Method in the web service to access all the country names from the database which is stored in the table “Tbl_Country”  and binds it to the combo box in the flex form. If admin selects any particular country it has to call all the cities with respect to countries for which we are using a web method “GetCityNames” it is taking country Id as a parameter and returns all the city details with respect to that country names. After binding all the data admin will select the photos from the local disk and add them to the application. Then it will call the method in the web service called the “InsertImgNames” method where we are writing the insert command to store information in the “Tbl_PhotoDetails” table also we are storing the image in the Photos directory in the web service application folder.

  • Adding videos:

In this functionality, the admin is adding particular video details in the database corresponding to a particular city and country. For that purpose, he is getting all the country details from “getcountry” Method in the web service to access all the country names from the database which are stored in the table “Tbl_Country”  and binds it to the combo box in the flex form. If admin selects any particular country it has to call all the cities with respect to countries for which we are using a web method “GetCityNames” it is taking country Id as a parameter and returns all the city details with respect to that country names. After binding all the data admin will browse the video from the local disk and add it to the flex application. Then we are calling a web service method “insertVideoNames” for storing the details in the table “Tbl_VideoDetails” which is there in the database. Here we are storing the name in the database and adding that video to the local directory of the web service.

Note: our application only accepts “FLV” format videos that are of size less than 20MB.

  • Accept Booking:

Here admin is accepting the booking from the user on the basis of the availability of the rooms and other information. For this, we are getting all the booking details that are waiting for admin approval from a method called “CheckStatus” where we are getting all the details from the table “Tbl_Payment” which are having the status as false. And also we are getting other information like user personal details from other tables like “Tbl_UserDetails” and we are storing it in a custom dataset. And I am returning it to the flex as an XML string document. Where I am filling those details in “CheckBoxDataGrid”.  Here admin selects any particular details in the check box which is generated individually for each row. After selecting those rows when the admin click Submit button admin will send all those user details to a particular method called “SendMail” in the web service which will make that record status true in the table “Tbl_Payment” and send a mail to that particular user mail ID as a confirmation mail.

 The above-mentioned functionalities are Admin which provides basic information for the site and accepts the booking and sends mails to the user. Here below given are the functionalities for the user module. Where the user can perform several operations on the application those are….

  • User Module:

Here the functionalities for users are…

  • Login
  • Select places
  • View photos
  • View video
  • Make booking

We will discuss all the functionalities in detail…

  • Login:

Here every user has their own credentials using those credentials only they have to access the site to check those credentials we are using one web method called “LoginUser” here we are accessing the stored procedure “SP_LoginUser” for checking the credentials. If those usernames and passwords are correct then it will return a message called “true” otherwise “false”. If it is true user will redirect to the Home page to access other functionalities.

  • Select Places:

In this functionality, if the user wants to make a booking first he needs to select the particular place in which he wants to book the hotel. For that purpose, we are taking one form called “SelectPlaces” in which we are placing two combo boxes. The first one represents the country names and the second will represent city names. For that purpose, he is getting all the country details from “getcountry” Method in the web service to access all the country names from the database which are stored in the table “Tbl_Country”  and binds it to the combo box in the flex form.. If admin selects any particular country it has to call all the cities with respect to countries for which we are using a web method “GetCityNames” it is taking country Id as a parameter and returns all the city details with respect to that country names. Whenever the user selects both country and city then after pressing on the next button it will redirect to the page where the user will get 3 options like

  • Make Booking
  • View photos
  • View videos
  • View photos:

Here user will get all the photos with respect to the user selection of countries and cities. Here we are using the one web method for retrieving all the image details i.e., “GetPhotoNames” it will return all the photo’s names and paths and there we are giving that details to the photo viewer control in flex.

  • View videos:

Here user will get videos if any with respect to that place based on the country and city names selected in the select city page by the user. For that purpose, we are calling one method in the web service called “GetVideoPath” in the web service with respect to the city Id selected in the front end. In that, we are retrieving the details of the video name and path for that particular city and giving it as a source for the video controller in the flex path.

  • Make Booking:

If the user wants to book a hotel in a particular city then the user clicks on the Booking link. Then the page will redirect to a page where the user has to enter “from date” to “to date” and has to enter the number of adults and number of children when the user clicks on next the page will redirect to the booking page with all this information their user will get all the information of hotel details in that particular place. To fill this grid we are calling “GetHotels” and we will all the hotel details with respect to that city Id and it will display it on the grid. The user will enter a particular hotel id in the form. When a user clicks on the book button then we will call a method called “Payment” in the web service. All the details will be stored in the database using a stored procedure called “SP_Payment” and the booking will be waiting for admin confirmation. Once the admin confirms the user booking user will get a mail regarding the details of the booking.

Download the Complete Project on Trip Planning and Booking System C#.Net Project

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Vehicle Management System Project using Python and SQLite

 

The complete development of this Vehicle Management System project using Django as the backend and sqlite3 as the database. This Python project has main sections Login/Signup, Dashboard, Vehicle, Driver, Booking, Repair, and Report which are explained in the coming slides in detail.

Functions Below:

Login/Signup

Users can signup/log in to the portal with this page. It takes in the necessary fields required for the user details

Dashboard

This is the dashboard in which you can view your details is shown and the user can edit the details.

Driver

Driver Section has two pages, one is to add a driver and the other is to view the list of drivers available. This section is only visible to the users which have admin access. The Driver list has the features to search and sort lists according to the fields.

Vehicles

In this section there are two pages one is to add vehicles and the other is to list the vehicles owned by the user. On the vehicle list page, the user can view individual details, edit the details and delete the vehicle.

Booking

The booking section has four pages one is the form to book a trip the second one is the success page where the booking details including the distance, cost, and duration are displayed using google maps API. On the success page, you have the option to pay which will take you to the payment page.

The payment page lets you enter the card details to pay. There is a page to display all the bookings made by the user wherein the user can search for the bookings. The admin will have another option which is to confirm the booking and a driver will be allotted and a mail will be sent to the user saying the mail is confirmed. The map option in the booking list page displays the route using google maps API. When the admin confirms the booking a confirmation mail will be sent to the user.

Repair

The repair section has two pages, one for reporting the issue and another page to show the issues made by the user. On the issues page, the admin has an option to solve the issue made by all the users.

Report

Each user can have a report of the trips that he has made. There is an option to mail the user the report for further use. Demo Here is the live demo of our project. The quality of the gif is a bit low.

Database tables:

Vehicle Table

Owner
Cost per KM
Price
Registration Plate
Vehicle Status
Insurance Status
Total KM traveled
Fuel Type
Mileage
Vehicle Type
Image

Report Table

Registered Date
Registered User
Vehicle Mileage
Issue

Driver Table

First Name
Last Name
National ID
Address
Email
Phone Number
License Category

BookingTable

Source
Destination
Distance
Booking Date
Start Date
End Date
Security Deposit
Allotted User
Allotted Driver
Vehicle
Cost
Duration

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StellarStudent College Student and Faculty Communication Project

StellarStudent is a web application that deals with students and faculty. Ever since digitalization started in the country, schools and colleges want the best way possible to share information with their students. Some colleges use Google Drive or Whats app to share materials or collect other documents. However, the chance of data loss or misplacement is guaranteed. It is better for the college to have an admin who can look after all the happenings on the college website with just one click. With high security and validations of users, the chances of data misplacement are low with StellarStudent.

This Student and Faculty Communication project aims to connect the students with their faculty with no miscommunication. It is a web-established web-based application that involves faculty uploading study materials and notices like events and placement drives, viewing certifications, and quiz results of students. Students can also communicate with each other via the exchange of images, feedback, and discussion. This application can be handled by the admin and manage students as well as faculty.

Objective 

The StellarStudent is a web-based Student and Faculty Communication project for BVRIT-H students and faculty. The main objective of this project is to let college students interact with their faculties.  In this project, the faculties can upload materials, quizzes, etc. Even students can ask questions to faculties and can also upload the certificates. Our main goal is to ensure cost-effective, technical excellence, and secure apps.

Methodology 

To store the user data MYSQL has been used as a database. HTML and CSS have been used for front-end development. PHP is used as a server-side language, which is used to connect the front end to the back end. We can run this application in our browser.

Software requirements specifications

 Introduction:

Student and Faculty Communication SRS describes the requirements and specifications of StellarStudent, a web-based application for the college. 

Purpose:

The purpose of this document is to present a detailed description of StellarStudent.

Scope:

The project StellarStudent helps college students to interact with their faculties and many more. This web application can be accessed by students and faculty of BVRIT HYDERABAD College of Engineering for Women.

Overall description

The project StellarStudent is a web-based application with two interfaces: One is for students and another is for management. The website works on desktop computers, laptops, and mobile devices with the help of a browser.

Project Functions:

The project Student and Faculty Communication has the following product functions:

  • The web portal will provide the functionality to manage the system and the student
  • The website is secure because users must enter login details to access the
  • The system contains a huge For this reason, the search option has been provided on all report pages. The search results can be viewed in the list view.
  • The product works online with help of the internet

Assumptions and Dependencies

    • Internet connection
    • 24X7 uptime server connection
    • One assumption about the product is that it will always be used on mobile phones that have particular technical support.

Modular Decomposition of Components:

Dashboard Component

• Admin account
• Publish news
• Publish events
• Publish meeting schedule
• Add course records
• Add subject records
• Add certificate types

Faculty Component:

• Quiz materials
• Study materials
• Students record
• Faculty profile
• Certificates

Discussion Component:

• Post discussion forum
• Discussion reply
• View discussion forum

Quiz Component:

• Upload quiz question
• Attend quiz exam
• Quiz result

Study material Component:

• Upload notes
• View study materials

Certificate Component:

• Upload certificates
• View Certificates

Upload certificate by student Screen

View Uploaded Certificates

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Order Management System for Steel Fabrication Factory Java Project

The web-based “Steel fabrication Order management system” project is an attempt to simulate the basic concepts of order management systems. The system enables the customer to do the things such as view all available products, and products by category-wise distribution. The user can place the order, the delivery agent will get the order details and it will be delivered to the customer at their residence. Users can request customized products with their own requirements and budget.

The Order Management System provides a facility that enables users to view details about products without logging in. But if the user wants to place the order, then it is required to log in first. Users can view all available products with detailed descriptions, reviews, and ratings. Users can choose a particular product. The system checks for the availability of the quantity of the product. If the product is available then the system allows the customer to select the product and place an order. To order a product the system asks the customer to enter his details such as first name, last name, city, street, landmark, state, pin, phone number, etc.

Scope 

  1. Order Management System for Steel Fabrication Factory is a web-based application that allows the admin to handle all the activities online quickly.
  2. So, the aim of the project is to provide products to customers. The customer can choose the products from the category and place the order. Users can request customized products to their own requirements and budget. Staff then can contact the user with the details provided by the user at the login time
  3. Staff will arrange the products as per the order and make them available for collection.
  4. Once the order is ready, the delivery agent will collect the products and they will be delivered to the customer at their residence

SYSTEM ANALYSIS AND DESIGN

System analysis is the performance management and documentation of activities late to the life cycle phase of any software namely:

  1. The Study Phase
  1. The Design Phase
  1. The Development Phase
  1. The Implementation Phase
  1. The Testing Phase

Software analysis starts with preliminary analysis and later switches to a detailed one. During the preliminary analysis, the Analyst took a quick look at what is needed and whether the cost benefits. Detailed analysis studies in depth all the cornered factor, which build and strengthens the software.

ER Diagram:

PROJECT FEATURES

Admin module

Admin is the main role in the overall system. Admin can log in into the system using credential where admin credential was already stored in the database.

After successful login into the admin dashboard, there are various operations that the admin can do mentioned below –

  1. View customer: Admin is able to view the list of customers who are already registered into the system. Customer data is stored in a database so the admin can fetch those data to view the list of customers
  2. Add remove staff: Admin can add staff by giving a particular role also admin is able to delete it from the system
  3. View feedback: Admin can view feedback which is given by customers on products after purchasing

Manager module

Like the admin, the manager can log in to the system with the credentials stored in the database. The manager carries out the most of operations on the owner’s side. The manager can perform the following functionalities mentioned below:

  • Manage products: The manager can add products into the system with all the necessary details. As the products are managed category-wise, the manager can add distinct categories first and then products under that specific category. Managers can also update products by changing the price of products or the available quantity of product
  • Manage delivery: The manager is able to see all the orders. After placing an order by the user, the manager assigns that order to the particular delivery That order is visible to that delivery agent’s dashboard with details.
  • View feedback: The manager can view feedback and ratings given by customers on products after purchasing. The manager can review and analyze the feedback
  • View order customization: The manager can review the customized orders that users have requested, and contact that specific user from the contact details given at the login time

User module

User can login into the system, or even without login users can see product lists, detailed descriptions of products, reviews, and ratings of products. Even without a login user can check all available products. But to place an order user needs to log in first to the system.

Registration and creation of user profile

The system shall require a user to register, in order to carry out the process to place an order. For registration it will ask the user for the following information first name, last name, city, street, landmark, state, pin, phone number, email, and password. The system will automatically generate the user’s profile.

Making Order

After registration user’s credential is saved in databases and using the credential user can log in to the system. For place an order user must do login first otherwise the system will not allow the user to place an order.

After login into the system successfully now the user is able to place an order. The first user needs to search for the available product or the user can search for a product by category, one more option is available the user can select a product and customize it according to their need.

If a user wants to place an order of multiple products, then the first user selects one item and moves it to the cart using the ‘add to cart button, after adding it to the cart now user can go for another product and the user can add multiple products to add.

After adding products to the cart, the cart dashboard will show all the products, product quantity, and total price. Now users can place orders by selecting a payment method.

View Order History: The system shall allow a user to view all information about his previous orders. In history, the system shows the previous product, delivery status, etc.

Delivery Agent

Account Delivery agent is another important role in this system. The main role of the delivery agent is to deliver the product to the mentioned address and update the status of delivery. The delivery agent has functionalities mentioned below:

  1. Receive order: The delivery agent received the order and does a job of delivering the product on time
  2. Track order: The tracking status of the product during delivery is updated by the delivery agent. Tracking status like ‘product arrives, ‘on the way, ‘delivered’, etc. Users get to see this status on his/her side
  3. Verify payment: The delivery agent needs to verify the payment details like whether payment is already done or needs to be collected at the time of delivery
  4. Update order status: After delivering the order successfully, the delivery agent needs to update the status as ‘delivered’.

Software Required for Development

Module 1: Database Design – MySQL-for database

Module 2: Front End – HTML, CSS, JavaScript, React js.

Module 3: Back End – Eclipse IDE(Any IDE), Spring tool suite, Tomcat

Download The Complete Project code, report, and PPT of the Order Management System for Steel Fabrication Factory Java & MySQL Project.

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Payroll Management System C++ Project

OBJECTIVES

  • Manage Employee Information efficiently.
  • Define earnings, deductions, leave, etc.
  • Generate Pay-Slip at the convenience of a click.
  • Generate and Manage the Payroll according to the Salary Structure assigned to the employee.
  • Manage your own Security.

SYSTEM REQUIREMENTS

Software Requirements

Operating system:   Windows XP or Later versions of windows

IDE:    Dev C++

Hardware Requirements

Processor: Intel Pentium core or later versions

 Hard Disc: 120GB

RAM: 256 MB or More 

SYSTEM ARCHITECTURE

MODULES

Admin Login Module

Here in this module call, the user is prompted to enter the login credentials. The Login Module is a portal that allows users to type a username and password to log in. This module is no longer available to users after they have logged in. The Login Module appears to users next to the introduction module.

Data Entry Module

After you selected data entry from the main menu you land on this screen. In this module, the Data of the employee are inserted. The Fields required here are Name, Id of the employee, Designation, Age, Years of experience, No. of working hours,  Loan Status if any.

All the required data is processed and the salary, earnings, and deductions of the employee are calculated and finally stored in the files for permanent storage.

Storing and Retrieving Data Records Module

Records of all the employees are to be maintained and the records are stored in Files and the information is retrieved from the files. All the Records are separated by new lines, and each field of an individual record is separated by a ‘tab’. 

WORKING PROCEDURE

STEP 1

The main function is executed first and the control the followed by code.

The function ‘intro()’ got executed and the welcome message is displayed when the user proceeds to the next step by pressing any key.

STEP 2

The user is prompted with a login screen here and a user with valid credentials can have the access to the software.

STEP 3

 After the user with the valid credentials logs in, the data of previous employee records are retrieved.

STEP 4

After the user with the valid credentials logged in and successful retrieval, the user land on the home screen (the Main menu), and based on the choice of the user he lands on the requested screen.

STEP 5

After the job is done, all the modified or created data is stored in the files and the software is successfully exited.

FUTURE SCOPE

  • Continuous tracking of their activities within the company of every employee can be provided with their individual login credentials.
  • Auto updates of the details like bank loan updates can be provided.
  • Administration control over the software is to be improved.

Ex: Administration can able to add the employee credentials such that the employee can know their status and companies administration legally.

  • Databases can be used for easier and more efficient access.
  • The proposed system is capable of handling only 100 employee records and can be improved.

You can also visit & download the Java Application project on Payroll Management System