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Predict the Forest Fires Python Project using Machine Learning Techniques

Predict the Forest Fires Python Project using Machine Learning Techniques is a Summer Internship Report Submitted in partial fulfillment of the requirement for an undergraduate degree of  Bachelor of Technology In Computer Science Engineering. I submit this industrial training workshop entitled “PREDICT THE FOREST FIRES” to the University, Hyderabad in partial fulfillment of the requirements for the award of the degree of “Bachelor of Technology” in “Computer Science Engineering”. 

Apart from my effort, the success of this internship largely depends on the encouragement and guidance of many others. I take this opportunity to express my gratitude to the people who have helped me in the successful competition of this internship.

I would like to thank the respected faculties who helped me to make this internship a successful accomplishment.

I would also like to thank my friends who helped me to make my work more organized and well-stacked till the end.

OBJECTIVE OF THE PROJECT:

This is a regression problem with clear outliers which cannot be predicted using any reasonable method. A comparison of the three methods has been done :

(a) Random Forest Regressor,
(b) Neural Network,
(c) Linear Regression

The output ‘area’ was first transformed with an ln(x+1) function.

One regression metric was measured: RMSE and r2 score is obtained. An analysis of the regression error curve(REC) shows that the RFR model predicts more examples within a lower admitted error. In effect, the RFR model predicts better small fires, and the r2 score is obtained by using Linear Regression.

Best Algorithm for the project:

The best model is the Random Forest Regressor which has an RMSE value of 0.628 for which we are using GridSearchCV.

Scikit-learn has the functionality of trying a bunch of combinations and seeing what works best, built-in with GridSearchCV. The CV stands for cross-validation.

MODEL BUILDING

PREPROCESSING OF THE DATA:

Preprocessing of the data actually involves the following steps:

GETTING THE DATASET:

we can get the data from the client. we can get the data from the database.
https://archive.ics.uci.edu/ml/datasets/forest+fires

IMPORTING THE LIBRARIES:

We have to import the libraries as per the requirement of the algorithm.

IMPORTING THE DATA SET:

Pandas in python provide an interesting method read_csv(). The read_csv function reads the entire dataset from a comma-separated values file and we can assign it to a DataFrame to which all the operations can be performed. It helps us to access each and every row as well as columns and each and every value can be accessed using the data frame. Any missing value or NaN value has to be cleaned.

HANDLING MISSING VALUES:

OBSERVATION:

As we can see there are no missing values in the given dataset of forest fires

DATA VISUALIZATION:

  • scatterplots and distributions of numerical features to see how they may affect the output ‘area’
  • Boxplot of how categorical column day affects the outcome
  • Boxplot of how categorical column month affects the outcome

CATEGORICAL DATA:

  • Machine Learning models are based on equations, we need to replace the text with numbers. So that we can include the numbers in the equations.
  • Categorical Variables are of two types: Nominal and Ordinal
  • Nominal: The categories do not have any numeric ordering between them. They don’t have any ordered relationship between each of them. Examples: Male or Female, any color
  • Ordinal: The categories have a numerical ordering between them. Example: Graduate is less than Post Graduate, Post Graduate is less than Ph.D. customer satisfaction survey, high low medium
  • Categorical data can be handled by using dummy variables, which are also called indicator variables.
  • Handling categorical data using dummies: In the panda’s library, we have a method called get_dummies() which creates dummy variables for those categorical data in the form of 0’s and 1’s.
  • Once these dummies got created we have to concat this dummy set to our data frame or we can add that dummy set to the data frame.
  • Categorical data-column ‘month
  • dummy set for column ‘month’
  • Categorical column-‘day’
  • dummy set for column ‘day’
  • Concatenating dummy sets to a data frame
  • Getting dummies using label encoder from scikit learn package
  • We have a method called label encoder in scikit learn package. we need to import the label encoder method from scikitlearn package and after that, we have to fit and transform the data frame to make the categorical data into dummies.
  • If we use this method to get dummies then in place of categorical data we get the numerical values (0,1,2….)
  • importing label encoder and one hot encoder
  • Handling categorical data of column month
  • Handling categorical data of column day

TRAINING THE MODEL:

  • Splitting the data: after the preprocessing is done then the data is split into train and test set
  • In Machine Learning in order to access the performance of the classifier. You train the classifier using a ‘training set’ and then test the performance of your classifier on an unseen ‘test set’. An important point to note is that during training the classifier only uses the training set. The test set must not be used during the training of the classifier. The test set will only be available during the testing of the classifier.
  • training set – a subset to train a model. (Model learns patterns between Input and Output)
  • test set – a subset to test the trained model. (To test whether the model has correctly learned)
  • The amount or percentage of Splitting can be taken as specified (i.e. train data = 75%, test data =25% or train data = 80%, test data= 20%)
  • First we need to identify the input and output variables and we need to separate the input set and output set
  • In scikit learn library we have a package called model_selection in which the train_test_split method is available. we need to import this method
  • This method splits the input and output data to train and test based on the percentage specified by the user and assigns them to four different variables(we need to mention the variables)

 EVALUATING THE CASE STUDY:

Building the model (using splitting):

First, we have to retrieve the input and output sets from the given dataset

  • Retrieving the input columns
  • Retrieving output column

MODEL BUILDING:

  • Defining Regression Error Characteristic (REC)

Download the complete project Code, Report on Predict the Forest Fires using Project using Machine Learning Techniques

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Designing an UI/UX-based Project for a Customizable App

Project Title: Designing an UI/UX-based project for a customizable app that prevents a person from “High Screen Time”. This UI/UX design for an app & more Projects also includes “Custom Portfolios”, and Banner-Design for an online education platform.

Project Tools: Adobe XD, Anima, Adobe Photoshop Undraw, GradientUI, Adobe Fonts, Adobe color.

Project Duration: 6-7 Weeks.

Project Files: The project files include numerous “png files”, Browser supported links, and a project report.

REFERENCE LINKS:

• Youtube
• Behance
• Pinterest
• Adobe Tutorials

UI & UX PROJECT FEATURES:

  • The Idea of Creating an app design that would focus on being minimalistic and target the main objective of reducing screen time.
  • The title of the project is “Unplug” which fits perfectly with our goal.
  • The app includes features like custom alarm, statistics, and one-click-detox.
  • A signup page and feedback page have been created in accordance with the app design to attract customers and improve app performance.
  • User experiences have been set up to have numerous feedbacks with the goal-objective kept in mind.

SIGN-UP PAGE AND FEEDBACK PAGE DESIGN

Banner Design & Landing Page Design Features:

  • The Banner is designed accustomed to the customer needs and contains the important tagline “STAY LOCAL AND WORK GLOBAL”
  • The Banner Design contains an idea of digitally marketing an online course on “Machine Learning” with mini tags explaining the features of the online course.
  • Coming to the design tool, for the banner, I have used Adobe XD, and the logos are imported from different resources using png format.
  • The landing page design is accustomed to an individual and contains the detailing of the person’s achievement in an attractive way
  • The landing page is designed in both “Light-mode” and ‘’dark-mode’’. The main idealogy behind designing a portfolio page is to attract people to know more about the person’s work and this can improve for people seeking jobs or companies looking for employees.
  • The landing page can also be used for a portfolio website.

BANNER DESIGN AND LANDING PAGE DESIGN

APP-FEATURE DESIGNS

CONCLUSION

The project took around 5-6 weeks to complete. The basics of understanding a UI & UX design and how to execute it. The goal was to resolve the complex issue of reducing “screen time” so that the customers could focus on much more important things and improve their work consistently. The project helped me understand the key principles of design and how to adapt them to our daily project and to provide users with all the necessary features required for the goal. The add/banner design helped me understand the view of a UI designer from a digital-market side and how its system work. For the portfolio design which would further help in CV and resume-building.

FUTURE WORK

  • Since I have learned some of the most basic things in UI & UX designing, I would like to gain much more expertise and experience in the field and learn how such designs solve real-world problems.
  • Adobe xd has regularly been updating itself and so learning new skill sets would be a constant work to improve me.
  • I would learn one step further by linking java-script codes and style sheets with the designs thus making a fully-fledged front end for a website or an app.
  • Since the user-testing field is evolving continuously, I would learn various user stories and try to improve them by using them in various projects.
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Analysis Of Energy Consumption In India Python Project

Energy is one of the most important resources available to man and it is necessary to keep a check on the growing need for energy day by day.

The Issue of the availability of Energy is getting prominent these days. So to analyze the consumption of energy and production of Energy via available Energy Resources is important.

The project describes the consumption of energy resources of all states of India in the last few years with respect to the population of India state-wise and predicts the future energy requirements for every state.

INTRODUCTION

India is a growing economic superpower. At this point in time, we are sitting at the tip of our economic explosion. The vast reserves of resources in all factors of production have earned us the title of The Land of Potential. But this comes at a cost, with this growth potential comes the need to satisfy the potential through the generation of energy.

To meet this challenge of growing energy is very important for India and it is even more important to predict the future requirements of energy in our country.

If we are able to predict the energy required in the future it will boost the potential of the country and increase the overall growth in every field

Background and Basics:

The programming language Python is very useful for the analysis of data in every field.
Python has been used to show the analysis of data in a diagrammatical format like a Pie Chart, Bar Chart, and Multiple Bar Chart.
It also shows a map of India with respect to the intensity of Energy Consumption as well as the Population of India state-wise. By using Machine Learning.
We have predicted the requirement of the amount of energy for every state using The Linear Regression Machine Learning Algorithm. It uses two parameters on the outcome and one on which the outcome depends
The population has been used as a parameter on which energy depends

Future Use

This program gives a clear idea about the energy requirement in the Future.

Software and Hardware Requirements

Details of software

Python
Anaconda (Spyder) IDE
Required Python Libraries:
Numpy
Pandas
Matplotlib
Tkinter
PIL
Mpl_toolkits.basemapDetails of hardware

Details of Hardware

Working PC

Methodology

The SUBMIT button on the GUI checks the availability of state i.e.it checks the correct state.

The PIE Chart on the GUI plots the energy resource required percentage-wise.
The BAR Chart on the GUI plots the energy resource required percentage-wise.
Flow of Project
Our project takes a dataset of the population from the year 2013 to 2017 and energy requirements in India per state from the year 2013 to 2016.

The data from every set from the years 2013-16 has been used in order to train the machine using linear Regression and data from 2017 for the population has been used in order to test the model to predict the future requirement of energy.

The energy requirements predicted as well as actually have been represented using the map of India i.e. greater the intensity on the map higher the energy required for that state, bar chart, and Pie chart.

Results and Discussion

Pie Chart of Energy Resources of Maharashtra Year 2015
Resource-wise Production of energy

Map of India according to energy consumption

Conclusion

We have used python to show the analysis of data in a diagrammatical format like a Pie Chart, Bar Chart, and Multiple Bar Chart.
It also shows a map of India with respect to the intensity of Energy Consumption as well as the Population of India state-wise.
By using Machine Learning, we have predicted the requirement of the amount of energy in the specified year for each state in India.
Technologies used in the project are Python, Machine learning, and Data Analysis.
This program gives a clear idea about the energy requirement in the Future.

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Online Cafe and Salon Management System Angular Project

During the Internship, Students worked on various static websites which include websites of café and event management companies. My internship also includes work on the Angular project Salon management system. This management system includes my main contributions in the registration portal, login portal, password changing portal, membership and offer cards, and other registration and contacts forms. This summer internship provided me with team experience and helped me in developing my skills in Web development using HTML, CSS, and JavaScript. Students have worked with the development of the front end and design of a Company’s Website and Dashboard.

Overall, the Internship program helped me in different ways to grow my knowledge in my field and also gave me insight into how to work in a team with proper coordination and in a timely manner.

ACKNOWLEDGEMENT

Working on these Cafe and Salon Management System projects has given us a wide opportunity to think, implement and interact with various aspects of computer technologies as well as learn new skills. One of the most fruitful benefits of working on this project is that we got a proper experience of working as a team, working on our assigned tasks, supervising and correlating with others, and management of the entire team with their tasks and completing the whole project.

I would also like to express our sincere thanks to our HOD and Course Directors, because of them we got the opportunity of having this group project as a subject in our current semester, and as a result, provided us the seed of execution of such a wonderful idea into action.

Overview of Projects

  • The Salon is a salon management system that has functions like admin management, customer tracking, and product shopping from the web.
  • The Café is a static site that has been designed for the users to get acknowledgment about the café. It has functionalities like booking tables, ordering online food, and menu details.

Objective

  • The objective of the salon management system: The Salon is to keep track of its daily expenses, customer, manage staff, and Publicity of its salon.
  • Static website Cafe management system which is designed also has the main objective of reaching more and more people through the help of the internet and making their marketing more strategic in the market.

Tools and Technologies

When the idea of making a web-based application came to our mind, the first thing that was required to be done was to gather information about the things that were required to be learned by us in order to make this project come to life. Hence after some brainstorming and group discussions, we followed the following figure and according to that learned the things in order.

After conducting this brainstorming and learning the process the tools and technologies that we had to use were as follows:

For Salon:

  • Angular
  • NodeJS
  • Stackoverflow (to learn about our software requirements)
  • GitHub (to learn about our topic)

For Static Website (The Cafe): 

  • Html
  • CSS
  • JavaScript
  • Bootstrap

IDE’s:

  • Visual Studio Code

Roles and Responsibility

  • Contributed to the making of a few modules for the Salon which includes modules like registering customers, forgetting passwords, and reset
  • Also contributed to live project

Implementation Environment:

 The backbone and the main aspect of the software side of the project were to run the HTML code, perform the JavaScript and make the site more user-friendly by adding CSS. So the implementation was carried out in such a way that the correlation of different files would be done easily. Hence, the use of an IDE was a must. Initially, we thought of using IntelliJ IDEA but the idea was dropped later on and we began working with the visual studio code 2020.

Sometimes to organize we even had to use some text editors like sublime text, atom, etc. Implementation of the code was done altogether after we researched and sorted the image data that we obtained. The basic approach that we used was the partial compilation method and went on integrating the small amount of the code into larger ones, module by module.

CONCLUSION

 In the end, we would just like to briefly explain how this project helped us to excel at our own best level and made us learn a lot of new things, technologies, and team management. And also implement all of the skills that we previously acquired or learned later on as a part of the completion of the project. Moreover, this project helped us to learn about the real scenarios of working in a team for real tasks and to cope with deadlines, quality management, and each and every aspect of the project. This project gave us the motivation to think differently and express our own ideas to implement them. Also, it taught us how to deal with errors, quality-related, time-related, and other management-related problems.

Most importantly with the medium of this project, we learned Many new skills, ranging from soft skills to technical skills. Qualities related to management, problem-saving time saving, etc. were also learned by us. We tried to make an honest solution for people out there facing problems and learned how all the skills combined: with the help of a perfect team and proper management along with proper skills is the key to providing the solution to any possible problems out there. And we believe that we did a great job implementing all our knowledge, and are grateful to present this execution of one such idea.

Thanking all those who helped us in a big or a small way with this project. Every contribution that has been given is very valuable to us and is the true reason for this project to stand out as a pioneer-based preliminary project and success of this project. With that being notified we heartily present our project and welcome all suggestions or improvements with open hands.

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Online Banking Website Project using HTML, CSS, and JavaScript

In this academic project, we are going to create an Online Banking Website using basic HTML, CSS, and JavaScript. We have planned and going to create as per the design given by the instructor. Which include:-

  • A home page that will provide all the necessary views. And it includes the link to the various linked pages (login/signup page, services, fixed deposit, e-services, account details, about us).
  • The top bars include the link to every single linked page.
  • We are going to provide services like Personal internet banking, Corporate banking, Merchant business, and Online tax.
  • Payment transfer: – International transfer, National transfer, Bill payment.
  • My Account page contains: – Account No. , Bank / Branch. IFSC Code.
  • ABOUT US page which shows the details of our contacts and our headquarters.2 Online Banking Websites

Concept:-

  • We have used the concept of HTML Programming like o Hyperlink projection.
  • Use of different tags to make it visually better like font, table, listing, hyperlink, styling, etc.

Use of:-

  • Combo Box
  • Search Box
  • Button
  • Text Field
  • Label
  • Fieldset
  • Legend

This project is basically an online banking website where one can create his/hers bank account, and use the same account for various banking services.
All designing and programming are done by us only.
All the members have their role in creating this website.

PROJECT DESCRIPTION

Project Name: Online Banking Website

Languages Used: HTML, CSS, JavaScript

Software Used: Visual Studio Code

Browser Used:  Google Chrome

Description:

This project is not a pure website that works on the internet. This project is just a template of a bank website, which can be used with the backend to create a perfectly working website. This website is work fine with JavaScript, CSS (Cascading Style Sheet), and HTML (Hyper Text Markup Language), with some simple concepts to make it a Responsive Web Page.

PROJECT CONTENT

This website is consist of various HTML pages, which are linked to each other with links (either by link or anchor tag).

Following are the HTML file names involved in the project:

  1. html (Home Page)
  2. html (Login Page)
  3. html (Sign Up Page)
  4. html (Personal Internet Banking)
  5. html (Corporate Banking)
  6. html (Merchant Business)
  7. html (Online Tax)
  8. html ( International Money Transfer
  9. html (National Money Transfer)
  10. html (Bill Payment)
  11. html (Fixed Deposit)
  12. html (E-Services)
  13. html (My Account)
  14. html (About Us)

Following are the CSS files name involved in this project: (Here, we used a simple convention in the naming of the files: “<html_file_name>CSS.css”

  1. css (Home Page)
  2. css (Login Page)
  3. css (Sign Up Page)
  4. css (Personal Internet Banking)
  5. css (Corporate Banking)
  6. css (Merchant Business)
  7. css (Online Tax)
  8. css ( International Money Transfer
  9. css (National Money Transfer)
  10. css (Bill Payment)
  11. css (About Us)
  12. css (My Account)
  13. css (Fixed Deposit)
  14. css (E-Services)

Following are the JavaScript file names involved in this project:

  1. js (Login Page)
  2. js (Sign Up Page)
  3. js (Personal Internet Banking)
  4. js (Fixed Deposit)
  5. js (Bill Payment)

CONCEPTS USED

As above mentioned, this template website is made up of HTML, CSS, and JavaScript.

The concept used in HTML:

  1. Using the link to add an external CSS file to it.
  2. Using the “src” attribute with the “script” tag we link external JavaScript.
  3. Using the “div” tag to separate various parts of the webpage to give functionality and style separately.
  4. Using “h1” tags to give a heading.
  5. Using “img” tag to give images on the webpage.
  6. Using anchor (“a”) tags to link multiple HTML files to each other.
  7. Using “id” and “class” attributes with different tags to give them style and functionality accordingly.
  8. Using the “form” tag to use the form for the login and sign-up page.
  9. Using the “method” attribute’s value as “POST” to give the form data securely.
  10. Using “input” tags to make an input field for the users. (With its different types.)
  11. Using “onload”, “onclick”, “onblur”, “onchange” with its value to call the functions which are in the respective JavaScript files on loading the webpage, on clicking a button, on losing focus, and changing the state respectively.
  12. Using “label” tags to create labels for the input fields.
  13. Using “select” tags to create a drop-down menu or combo box in the form.
  14. Using “option” tags inside the “select” tag to give options in the drop-down menu.
  15. Using “button” tags to create a button for submitting and resetting the form.

The concept used in CSS:

  1. Using “#” and “.” to access elements with their id and class values respectively.
  2. Using some pseudo-classes to make a somewhat interactive web page. (Without using JS.)
  3. Using media queries to make the page responsive for some specific display ratios.
  4. Using “@import” for importing another CSS file to a specific file.

The concept used in JavaScript:

(In this project, JavaScript is used mainly for form validation and for interactive buttons.)

  1. Using Regular Expression (RegEx) for creating a pattern for email and password validations as they have a specific pattern in them.
  2. Using “window.location.replace()” to go to a specific location on calling it.
  3. And using other pre-defined functions to create our user-defined functions.

CONTRIBUTION BY TEAM MEMBERS:

  • The idea of the project and its structure of it.
  • Creating all JavaScript files, to make our web pages interactive.
  • Final touch-up to the project.
  • Creating all CSS files, to make our web pages beautiful.
  • Creating all HTML files, to add content into it.

PROJECT IMPLEMENTATION:

Here are some images of our project.

  • home.html
  • acc.html
  • login.html
  • signUp.html
  • billPay.html 

CONCLUSION

This online banking website project is completed in two scripting languages i.e. HTML and CSS, and JavaScript.

There is a total of 14 .html pages which are linked together to create a full website template for online banking.

In this project, all three developers work equally, with the same amount of effort.

REFERENCES

1. w3school.org
2. geeksofgeeks.com
3. developer.mozilla.com

Download the complete project on code, report of Online Banking Website Project using HTML, CSS, and JavaScript

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MOODIFY – Suggestion of Songs on the basis of Facial Emotion Recognition Project

Modify is a song suggested that recommends the song to the user according to his mood. ‘Modify’ will do the job leaving the user to get carried away with the music.

I/We, student(s) of B.Tech, hereby declare that the project entitled “MOODIFY (Suggestion of Songs on the basis of Facial Emotion Recognition)” which is submitted to the Department of CSE in partial fulfillment of the requirement for the award of the degree of Bachelor of Technology in CSE. The Role of Team Mates involved in the project is listed below:

  • Training the model for facial emotion recognition.
  • Designing the algorithm for image segregation.
  • Algorithm designing for music player.
  • Graphical user interface designing.
  • Testing the model.
  • Collection of data for model and music player.
  • Preprocessing of the data and images.

Dataset:

The dataset we have used is “Cohn-Kanade”. 
This dataset is classified so we cannot provide the actual dataset but the link for you to download is :
http://www.consortium.ri.cmu.edu/ckagree/index.cgi
And to read more about the dataset you can refer to:
http://www.pitt.edu/~emotion/ck-spread.htm

Feature Extraction and Selection:

1. Lips
2. Eyes
3. Forehead
4. Nose

These features are processed by CNN layers and then selected by the algorithm and then they are converted to a NumPy array then the model is trained by that and the following three classifications are made.

How this project works:

  • First Open the Application, CHOOSE THE MODE IN WHICH YOU WANT TO LISTEN to THE SONG
  • Then it shows “YOUR MOOD, YOUR MUSIC”
  • Press “OKAY TO CAPTURE THE IMAGE”
  • After that press “c” to capture
  • You seem Happy please select your favorite genre
  • You seem Excited please select your favorite genre
  • You Seem Sad please select your favorite genre

CODE DESCRIPTION

  • All libraries are imported into this.
  • Model Initialization and building.
  • Training of test and testing.
  • Training our model
  • Model Building, Splitting of test and train set, and training of the model.
  • Saving a model.
  • Loading a saved model.
  • Saving image with OpenCV after cropping and loading it and then the prediction
  • Suggesting songs in Offline mode
  • Suggesting songs online(Youtube)
  • Rest of the GUI part
  • Variable Explorer

IPython Console

  • Importing Libraries
  • Model Training
  • Model Summary
  • Online Mode
  • Offline Mode

GUI

  • Splash Screen
  • Main Screen
  • Selection screen
  • Display songs and then select them, after that they will play

Summary

We successfully build a model for Facial Emotion Recognition(FER) and trained it with an average accuracy over various test sets of over 75%. Then we successfully build a Desktop application to suggest songs on the basis of their facial expression and hence completed our project. This FER model can be widely used for various purposes such as home automation, social media, E-commerce, etc and we have the motivation to take this project to a next level.

Download the complete Project code, report on MOODIFY – Suggestion of Songs on the basis of Facial Emotion Recognition Project

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Implementation of E-voting Machine Project using Python and Arduino

INTRODUCTION

Our E-voting Machine project is very useful, This Project was implemented using Python and Arduino. The user is no longer required to check his register in search of records, after the voting procedure gets over, the admin will be able to calculate the total number of votes in just one click since the entire work is done using computers. The user just needs to enter his/her unique voter ID.

In today’s world, no one likes to manually analyze the result after the voting procedure gets over because the process is time-consuming and of which results get usually delayed. Everyone wants his/her work to be done by computer automatically and displaying the result for further manipulations. So this E-voting Machine project is about providing convenience regarding voting.

OBJECTIVE

  • Our objective for the E-voting Machine project is to make a user-friendly Electronic Voting Machine that makes the current voting process faster, easier, and error-free.
  • We have used Arduino in our project for the implementation of push buttons and Python as a programming language.

PROBLEM STATEMENT 

The problem statement was to design a module:

  • Which is a user-friendly E-voting Machine
  • Which will restrict the user from accessing other users’ data.
  • Which will ease the calculations and storage of data.
  • Which will help the jury to declare the result without any biasing.

FUNCTIONS TO BE PROVIDED:

The E-voting Machine system will be user-friendly and completely secured so that the users shall have no problem using all options.

  • The system will be efficient and fast in response.
  • The system will be customized according to needs.

FOR e-VOTING SYSTEM

  • (Check
  • Store
  • )

SYSTEM REQUIREMENTS

  • Programming Language Used: Python, C
  • Hardware Used: Arduino UNO
  • Components Used: Push buttons, Connecting Wires, Resistances(100k ohm), Breadboard
  • Software Used: Anaconda 2.7.x, Python 2.7.x, Arduino IDE
  • Modules Used: Serial, SQLite, Tkinter, tkMessageBox

WORKING

  • The user has to enter his/her ID in the system.
  • After verifying the user ID, the system will show a message that whether a user is eligible to vote or not after checking his/her details stored in the system.
  • A message will be displayed accordingly. The user will then have to press the button against which the name of the candidate is written and whom he/she wants to vote.
  • The votes hence are stored in the database and the results will be announced accordingly.

FUTURE SCOPE OF THE PROJECT

My project “e-VOTING SYSTEM” will be a great help in conducting voting at various organizations. So the modifications that can be done in our project is to add one major change which can be done in this project is to add the data of the voters. This will result in the total identification of the voter.

CONCLUSION

From this E-voting Machine project, we can conclude that this program is very useful in conducting the voting procedures smoothly. It provides easy methods to analyze the voting result. It helps in conducting faster, more secure, and more efficient voting. The program can be used per the norms of the voting requirements.

Download the complete project code, report, and PPT on E-voting Machine using Python and Arduino.

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Mini Project on Student Profile Management System using Java

Develop a java based application using GUI to maintain student records. This Student Profile Management application should have a login page. The Student Profile Management should take student details like name, address, branch, previous year scores, and curricular and extra-curricular activities, and all the entered data should be displayed at the end for confirmation.

Project Programming Details –

1) LoginFrame :

Login Frame is GUI based window that is displayed when the user first executes the program. It is the welcome page through which the user will move on to the next frame.
It contains a button with an ActionListener() which on pressing opens Frame2.

2) Frame2 :

Frame2 is the login page. This page takes the user id and password as input and only after successful verification of user the user is allowed to move to the next page.
The default user id password is
User id:- admin
Password:- admin1234

3) Frame3 :

Frame3 is where the user is given the option to enter their details such as name, age, branch, and address and select their gender from the drop-down menu. Each detail to be entered is stored using JTextField() and JRadioButton is used to display the drop-down menu for the gender selection. Finally, there is the submit details button which on pressing triggers ActionListener() and checks whether the user-given input is legitimate or not, if it is not then it pops an alert message that reminds the user to enter the correct details. Once the correct input is given, we pass this information on to Frame4.

4) Frame4 :

Frame4 is where the user is given the option to enter their details such as their previous academic achievements, their 10th, and 12th scores, their average pointer, and their extra-curricular and co-curricular activities. Each detail to be entered is stored using JTextField() and JRadioButton is used to display the drop-down menu for the gender selection. Finally, there is the submit details button which on pressing triggers ActionListener() and checks whether the user-given input is legitimate or not, if it is not then it pops an alert message that reminds the user to enter the correct details. Once the correct input is given, we pass this information on to Frame5.

5) Frame5 :

Frame5 class is where we receive the user input taken in Frame3 and Frame4 and using JLabel()’s we display it on our Java application windows. There are two buttons to either make a new entry or exit. On clicking on the first button, ActionListener() is triggered which calls Frame3(), and thus we can enter details of another entry.

6) Student Details :

This is the final class that contains the main method, which calls the LoginFrame().

The output Results of the project will be:

  • Welcome page
  • Login Frame
  • Credential verification
  • User input
  • User input verification
  • Additional inputs
  • User input verification
  • Displaying user details
  • Making new entry

Thus, using a GUI-based java application we have successfully created Student Profile Management application with a welcome page, and login verification page, which takes various student details as input, verifies them and displays it in the end.
A major advantage of GUI is that it makes computer operations more intuitive and thus easier to learn and use.
Icons are more user-friendly than long command lines. GUIs provide the user with immediate, visual feedback about the effect of each action.

Download the complete project source code on Student Profile Management System.

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Online System Shopping Management Project Synopsis

This document brief up the project titled “Online System Shopping Management”. The main objective of our project is to provide users with an online experience for buying computers. This project helps the user to check the rates on the net and compare them, and also view and purchase more products that are related to computers like accessories and everything.

This project gives a clear user Interface as to what detail the user requires about every computer present in stock and also every detail of the accessories etc.        

INTRODUCTION:-

This site will be developed to make shopping for computers online. The site will be developed to help the user and also the seller. Any user can just use the net and shop for computers and also this reduces the load of sellers interacting with the customers.

In the present system, the computers are purchased manually by visiting the shop. So there is a need of automating the existing system by providing software solutions for it. So that there is the ease of shopping for the user in their busy life. By visualizing and experiencing all these problems, we felt it would be better to provide a solution for this problem. This was the basic reason for taking up this problem.

Problem Statement: 

The main aim of developing this project is to automate the process of shopping for computers. It also provides the seller with every record automated and avoids the interaction with the customers to convince the rate and all. It also provides users to choose every product on the site and also can purchase many products simultaneously.

A user can view his/her details about the product or buy a product by logging in with user name and password

Objectives:

  • The main purpose of using this new system is to provide, ease of shopping and selling for both customer and seller.
  • The objective of this new system is to provide easy access to the world of shopping.
  • This system provides security and backup of the data for the seller.

Technology Used:–

WEB PROGRAMMING MODEL:

The idea of using the Web as an application environment developed over time, with each stage of technology serving as a springboard for new ideas.

ER-DIAGRAM

SCHEMA DIAGRAM

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Employee Data Base Management Project using Data Structures with Java

We are doing a project which is about storing the data (details) of employees of a company or any other industry.

In this project, we are providing many functions to store and manipulate the data of employees such as

  • Storing the details like name of the employee,  ID, salary, date of joining, etc.
  • Adding new employee details to the existing list.
  • Providing the report of required employees.
  • To provide details of a specific employee.
  • To give the sorted list of employees based on name, ID, salary, and date of joining.
  • This project also gives the report of employees with certain specifications.

For this project, we are using a data structure-linked list to store the details of employees, and also we can add details of a new employee to the existing list. We are implementing the method to search for an employee and give details provided his name or ID. In this project, we also have a method to sort the list of employees based on name, ID, salary, and date of joining using different data structures. This project allows users to get the details of a certain number of employees from the list. We can also use this project to get the list of employees with certain specifications like the number of employees whose salary is in the given range.

INTRODUCTION

Our project “Employee Data Base Management”  is an application that we have created that helps to manage the details of employees associated with the company.  Since in a company, there are many employees who have worked or are working, to manage all their details such as their name, ID, date of joining and salary, etc., so to manage these data by conventional methods is cumbersome so we have developed this small application which is very helpful nowadays. This application will reduce the workload in generating the report, maintaining the data, and updating it as per the user’s requirement.

In our project, we have provided two user modes. First is the administrator and guest mode.

In our project, the administrator mode gives the user the ability to

  • Add a new employee’s details.
  • Update the details of an existing employee.
  • Delete (fired from the company) the details of a specific employee from the database.
  • Search for the details of an employee based on name or his/her ID in both working and nonworking categories.
  • Display the list of all employees either in the working or nonworking category.

In our project, the guest mode gives the user the  to 

  • Search for the details of an employee based on name or his/her ID in both working and nonworking categories.
  • Generate a report as the guest user desires for example generating the report in a sorted manner based on name, and ID.

OBJECTIVE

The main objective behind the development of this project is to create software with the following features:

  1. Highly user-friendly
  2. Enterprise independent
  3. Cross-platform
  4. Easy-to-use
  5. Tested system to track unnoticed error
  6. Data entry is restricted to valid domains to avoid errors

We are using the node ENode to form a doubly linked list and in each node, we are storing the details of one employee.

In each node, we are having different fields as follows

  • Left- Address of the previous node
  • Name-Name of the employee
  • ID-Employee’s ID
  • Position-Employee’s position in the company/firm
  • Gender-Gender of the employee
  • Salary-Employee’s annual income
  • Date of join-Date on which employee joined the company
  • Right-Address of the next node

Flow Chart:

IMPLEMENTATION

Class ENode

In this class, we have fields to store the details of employees. In each node, we are having different fields as follows

  • Left- Address of the previous node
  • Name-Name of the employee
  • ID-Employee’s ID
  • Position-Employee’s position in the company/firm
  • Gender-Gender of the employee
  • Salary-Employee’s annual income
  • Date of join-Date on which employee joined the company
  • Right-Address of the next node

Class EList

In this class, we have implemented the following methods

  • addEmp : this method does the job of adding the ENode node of employee details to the list-elist. And also this method is used to add ENode read from the file(“employee.dat”) again to the elist.
  • delEmp : this method does the job of deleting the node ENode from the working employees list elist and calls the method naddEmp and passes the deleted node as a parameter.
  • naddEmp : this method does the job of adding the ENode node of employee details which is deleted from elist to the list-nlist. And also this method is used to add ENode read from a file (“nemployee.dat”) again the nlist.
  • update : this method allows to edit and resave the details of an employee asked by the user.
  • fread : this method reads the data from both files “employee.dat” and “nemployee.dat” which creates a node and calls addEmp method to form the doubly linked list.
  • display : this method displays the list of employees in a display window

Class ESearch

      In this class we have implemented the following method

  • nsearch : this method searches for the entered name and displays the details of that employee. If the name is not found in the list then an error message “The name you entered not found” is printed.
  • idsearch: this method searches for the entered ID and displays the details of that employee. If the ID is not found in the list then an error message “The ID you entered not found” is printed.
  • Salsearch : this method gives the list of employees who all have salaries in the given range. If no employees in the database are having salary within the entered range then an error message “The salary range you entered not found” is printed
  • dojsearch : this method gives the list of employees who joined the company in the specified range of date. If no employees in the database have joined within the entered range then an error message ”No employees joined during this time” is printed.

Class ESort :

      In this class, we have implemented the following methods

  • nsort : this method gives a sorted list of employees based on their names. If there the list is empty then the message “NO DATA EXISTS” is printed.
  • idsort : this method gives the sorted list of employees based on ID. If there the list is empty then the message “NO DATA EXISTS” is printed.

Class EFile :

     In this class, we have implemented the following methods

  • fwrite1 : this method writes the data of list-elist the list into the file “employee.dat” whenever the list is edited. We are using @ as delimiter.
  • Fwrite2 : this method writes the data of list-nlist the list into the file “nmployee.dat” whenever the list is edited. We are using @ as a delimiter.

CONCLUSION

This was our project based on an Employee database management System. We think this system will give a better way for a shopkeeper to maintain his shop. Though every task is never said to be perfect in this development field even more improvements are possible in this system which we have mentioned below and some more improvements can also be done to give a more user-friendly system that can help the shopkeeper more efficiently. This project has contributed a lot to my knowledge that has proved to be a valuable addition for me.

SCOPE FOR IMPROVEMENT

  • All frame objects are created as static hence when we move to the next frame and return back to the previous frame the content of the frame will be stored. Therefore we are using the reset button everywhere.
  • In our project in some of the frames, we have a button PRINT to get the printout of the report generated but we have not given any action to that button.

Download the complete project on Employee Data Base Management.