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Class Scheduling System Python Project using Django Framework

Present issues:

  • No digital class management system
  • Fixed timetable which cannot be changed throughout the semester
  • Cannot swap classes easily
  • No publishing mechanism
  • No administrator
  • Students cannot access the present-day schedule

Proposed solution:

  • Dynamic mechanism to change weekly class schedules
  • Publish new schedule after changes
  • Fully manageable through administrator privileges
  • Secured using username and password credentials
  • Schedule accessible on the internet
  • Administrators can access the portal onsite only
  • The system can be implemented in other departments and also

Architecture

  • Any machine can connect to the server
  • Administrators can access only the campus network
  • Students and faculty can access it as long as there is internet
  • Server-side will manage access and manipulation rights
  • The server will also publish a current schedule

Technologies

Django Framework:

  • Manages all 3 tiers(MVT – Model, View, Template) to run the web application.
  • Front-tier or client employs HTML and CSS via Django templates.
  • The Server-side uses Python to implement the logic for managing model-based objects.
  • The Server-side also enforces security standards.
  • The back end contains an in-built database, accessible via a web address generated by a virtual machine managed by the Django framework.
  • Can deploy web application after completion of web-application construction.

Use Case Diagram

Class Scheduling System
Interface Diagram:

Interface Diagram

Output Screenshot:

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CRM for Online Book Store Salesforce Project Analysis and Development

Executive Summary

In this Project on CRM, we will discuss the strategies that are useful for an online bookstore. Then we will discuss five of the journals from different personalities. In which we have to discuss the relationship capabilities and the related links. Then we will discuss how the internet is changing the way of purchasing books. We will also ponder upon the point and discuss the way for buying the book whether it is for reading purposes or for gifts.

So, accordingly, we will arrive at a particular result that will either support the point that customer relationship management is totally helpful in integrating the customer whether it is a small firm or a big firm or will deduce that CRM does not play a significant role in the establishment of any Ecommerce industry, let it be an online book store Project. Customer relationship management strategies are creating so much profit for the company as they are continuously interacting with their customers. By sending electronic emails and other surveys we can take feedback from our consumers or customers. These points will also be discussed in the report. The prototype for an online bookstore will also be made.

Introduction

CRM is termed “Customer Relationship Management”. CRM is very important for starting any business model very efficiently whether it is an online bookstore. By using customer relationship management, we can make strategies for developing an online bookstore. So, when we are making a customer relationship management strategy, we have to focus on the needs of our clients or customers to make sure to complete their needs for books, etc.

A customer relationship management strategy will help to make a regular customer base for the increment in sales of the books and other products in the store, so they can increase their profits. Also, by using customer relationship management software, emails, and using social platforms to provide information to the customer so that they can at least visit or view the online store.

This way CRM is promoting the Online Bookstore. By promoting online, we can have more customers. So, more customers will give more profit. CRM using social platforms is also helping us to spread more information about online bookstores as compared to the normal ways, in other words, CRM is also advertising the bookstore online.

Online we can reach global customers so that they can also buy our products and this way we can have global customers. Customer Relationship Management will help in creating surveys to get more information about the customer’s supplies and needs. Also, customers can provide feedback about their experience of purchasing the product.

These types of surveys should be displayed on the store’s website or on its social media page so that the customers can see the reality. There is some customer relationship management software that can be used to manage the list of clients’ E-mails and other personal data that they insert during purchase.

This software can keep an eye on the success or failures of marketing campaigns of the company. Customer relationship management helps in reviewing the whole business plan and also CRM can give time-to-time statements for the monthly income. This will help in calculating the monthly expenses for the store.

Customer relationship management helps both the type of companies or firms whether it is small firm or big firm it helps to interact with the customers and build the company for the future so that it can run with a good base future.

Modeling:

Modeling of the Project

Findings and Discussion

Here in this report on ‘Customer relationship management for online book stores, we find that CRM strategies are very useful in approaching the customer. These strategies will make sure to complete the needs of consumers on time. So, it is used to interact with the customers.

Maintaining and handling consumers is one of the most reasons to use CRM strategies. We can handle consumers individually by keeping an eye on their needs by sending them emails. We can take a review system by taking feedback filled up by customers. Here I find that these CRM strategies are very useful in making a business model very successful. CRM strategies are formed in such a way that they are very approachable to the consumers and help in finding their needs and supplies. CRM for online bookstores will lead us to a new way of selling books and a new experience for the buyers also. We also discussed here promoting the book online.

This promotion can be done on the basis of some recommendations and using all the social media platforms. By using social media platforms like Facebook, Instagram, etc. we can create a promotion campaign so that it can widely spread the information about the online bookstore. Another one is a recommendation which is just mouth publicity like talking about the books to our friends, family and relative, and other members so that they can at least approach the book. These all things will surely increase the profit percentage of the company.

Conclusion

A book is a bundle of pages that are bound together inside a cover so that we can change pages and go through them one by one. Here, their main aim is to identify the main factors which are influencing the purchase of fiction books. And we will test these factors when the book is purchased for personal use or gift purpose.

Fiction books are the most readable books in most countries. Customer relationship management helps in incrementing operational performance. Also increases the efficiency and profit percentage of the firm. Customer relationship management is helpful for both types of firms whether it is small firm or big firm.

In these both the firms. Customer relationship management strategies interact with the customer and take their feedback. So, customer relationship management strategies play a very important role in selling books from the store. Customer relationship management also gives monthly statements for the company. Customer relationship management helps in collecting the personal data of the consumers for future promotion of their products.

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LSTM based Automated Essay Scoring System Python Project using HTML, CSS, and Bootstrap

Introduction

Essays are a widely used tool to assess the capabilities of a candidate for a job or an educational institution. Writing an essay given a prompt requires comprehension of a given prompt, followed by analysis or argumentation of viewpoints expressed in the prompt, depending on the needs of the testing authority. They give a deep insight into the reasoning abilities and thought processes of the author, and hence are an integral part of standardized tests like the SAT, TOEFL, and GMAT.

With essays comes the need for personnel qualified enough to carry out the process of grading the essays appropriately and ranking them on the basis of various testing criteria. Our project aims to automate this process of grading the essays with the aid of Deep learning, in particular, using Long Short Term Memory networks which is a special kind of RNN.

Automated Essay Scoring (AES) allows the instructor to assign scores easily to the participants with a pre-trained deep learning model. This model is trained in such a way that the scores assigned are in agreement with the previous scoring patterns of the instructor. So this needs the dataset which contains the information of scores given by the instructor previously. AES uses Natural Language processing, a branch of artificial intelligence enabling the trained model to understand and interpret human language, to assess essays written in human language.

Problem Definition

Given the growing number of candidates applying for standardized tests every year, finding a proportionate number of personnel to grade the essay component of these tests is an arduous task. This personnel must be skilled and capable of analyzing essays, scoring them according to the requirements of the institution, and be able to discern between the good and the excellent.

In addition to this, there are a lot of time constraints in grading multiple essays. This can prove to be cumbersome for a limited number of human essay graders. Having to grade several essays within a deadline can compromise the quality of grading done. Thus, there is a clear need to automate this process so that the institution carrying out the grading can focus on evaluating other aspects of the candidate’s profile.

The challenge was to create a web application to take in the essay and predict a score. We need to train a neural network model to predict the score of the essay in accordance with the rater. The model is to be made using LSTM.

Approach

In order to meet the need for automation of essay grading, we propose an application that provides an interface for users to choose an essay prompt of their choice and provide a response for the same. The user’s response is graded by the application within seconds and a score is displayed.

This application makes use of the technologies of Natural Language Processing that performs operations on textual input, and LSTM, which is used to train a model on how to grade essays. The application also uses the Word2Vec embedding technique to convert the essay into a vector so that the model can be trained addresses the issue of time constraints; automated grading takes place within seconds as compared to physical grading which requires minutes per essay. The net amount of time saved over a period of consistently using the application is vast; costs of maintaining human graders are also saved.

The application gives an output from the pre-trained LSTM model. The model is trained using a dataset provided by Hewlett Foundation in 2012 for a competition on Kaggle.

Web Application (Output)

The front end of the application was implemented using HTML, CSS, and Bootstrap. It provides the option for users to choose from a set of prompts and write an essay accordingly or to grade their own custom essay.

The landing page of the application:

Automated Essay Scoring System

Software Specifications

This application is developed primarily using Python, for the purposes of running the app. The model was built and trained on Jupyter Notebook. The front end of the application was designed with HTML, CSS, and Bootstrap. All the components of this application were integrated with the help of the Flask App, and the final project was deployed on IBM Cloud.

While training the model, the dataset was imported into the model with the Pandas library. Pandas library used was v1.3.0. Numpy v1.19.2 was used to handle array data structure. Natural Language ToolKit v3.6.2 was used to tokenize essays to sentences written in English and also to remove stopwords to make sure the sentences contain only relevant words. RegEx(re) package v2.2.1 was used to remove unnecessary punctuations and symbols present in the essay or sentences. Our model utilizes the Word2Vec technique to convert words to corresponding vectors. Word2Vec v0.11.1 was used to convert words into vectors. Tensorflow v2.5.0 was used to build the model. ScikitLearn v0.24.2 was used for data preprocessing.

To make use of the application, the user needs to have access to a stable internet connection and an operating system compatible with the latest versions of most browsers. In the absence of an internet connection, the application can be run locally. Still, the user needs to have the authorization to access the source code of our project for the same, which is not recommended for intellectual property purposes.

Future Scope

This application could be integrated and used by several testing institutions to meet their needs for essay grading. The model used could be trained with an increasing number of input essays to further improve its accuracy. The model could also be trained on giving a score on specific criteria of essay grading such as relevancy, linguistic and reasoning ability of the author. Research could be conducted on making the model faster. This technology could also be extended for use with languages other than the English language, effectively rendering it useful on a worldwide level.

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Analysing Region Wise E-Commerce Data Using IBM Cognos Dashboard

Analysing E-Commerce Data Project Objectives 

  • Know fundamental concepts and can work on IBM Cognos Analytics.
  • Gain a broad understanding of plotting different graphs.
  • Able to create meaningful dashboards 

Project Flow

  • Users create multiple analysis graphs/charts.
  • Using the analyzed chart creation of a Dashboard is done.
  • Saving and Visualizing the final dashboard in the IBM Cognos Analytics.
  • To accomplish this, we have to complete all the activities and tasks listed below
  • Working with the Dataset
  • Understand the Dataset
  • Build a Data Module in Cognos Analytics.

Understand The Dataset 

The data was sourced from the Kaggle.

Let’s understand the data of the file we’re working with i.e. US Superstore data.csv and give a brief

overview of what each feature represents or should represent

  • Row ID – Unique ID for each entry.
  • Order ID – Unique ID for each order.
  • Order Date – Date on which the order was placed.
  • Ship Date – Date on which the order was shipped.
  • Ship Mode – Mode of shipping the order.
  • Customer ID – Unique ID for each Customer.
  • Customer Name – Name of the Customer.
  • Segment – Segment to which the Customer belongs.
  • Country – Country to which the Customer belongs.
  • City – City to which the Customer belongs.
  • State – State to which the Customer belongs.
  • Postal Code – Postal Code of the Customer.
  • Region – Region to which the Customer belongs.
  • Product ID – Unique ID for each Product.
  • Category – Category to which the product belongs.
  • Sub-Category – Sub-Category to which the product belongs.
  • Product Name – Name of the product.
  • Sales – Sales fetched.
  • Quantity – Quantity of the product sold.
  • Discount – Discount Given.
  • Profit – Profit fetched.

Build A Data Module In Cognos Analytics 

In Cognos Analytics, a Data Module serves as a data repository. It can be used to import external data from files on-premise, data sources, and cloud data sources. Multiple data sources can be shaped, blended, cleansed, and joined together to create a custom, reusable and shareable data module for use in dashboards and reports.

Visualization Of The Dataset 

In Cognos, we can create different numbers of visualization and in the data exploration part we will be going to plot multiple data visualization graphs for getting the insights from our data and once the explorations are done we will build our dashboard.

Once you’ve loaded all the CSV files on the data module for creating different explorations. 

RESULT

Order Id by Region

Order ID by Quantity:

Order Id by Quantity

Sales and Profit by Year:

Sales and Profit by Year

Analysing Region Wise E-Commerce Data

Analysing Region Wise E-Commerce Data Using IBM Cognos Dashboard

CONCLUSION

From this Analysing E-Commerce Data project, we have successfully:

  • Created multiple analysis charts/graphs
  • Used the analyzed chart creation of a dashboard
  • Saved and visualized the final dashboard in the IBM Cognos Analytics
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Intelligent Access Control for Safety Critical Areas Project using IoT Analytics and IBM Cloud Services

Purpose of the Project

  • Access control is done by using a smart Analytic device. It verifies the entry of the person.
  • The Smart device verifies the persons entering into the industry.
  • The details of the person are being taken and uploaded into the cloud.
  • We can Restrict the entry of unknown persons and we can restrict the persons who are not following the safety measures by using this IoT device.

Existing Problem

The Intelligent Access Control problem with the present existing device is it cannot able to identifies the safety measures of the persons it just identifies the entry of the persons.

Proposed Solution

We can make use of IoT Analytics in Access Control, such that during working hours in the industry we can identify the persons who are following the safety measures and who are not following.

 Also, with the usage of IoT, automatically, the details of the person are taken and we can restrict them.

Hardware/Software Designing

The Intelligent Access Control Software design involves general We used IBM Cloud Services to create the Internet of Things platform. In the IoT platform, we create a virtual Raspberry Pi device. After creating the design we get the device credentials. We use these credentials in the Python program then we integrated the Node-Red platform with IoT. With the help of MIT APP Inverter, we designed the app & integrated it with the Node-Red to observe the values.

Experiment Investigation

To complete our Intelligent Access Control project work we collected the required data from Google & research papers. After getting complete knowledge we work according to our roles in the project. At first, we create the IBM Cloud account then we created the Internet of Things Platform after we wrote a python code in IDLE to connect IBM IoT Platform. Next, we created the Node-Red Services. This service helps us to show virtual flow graphs. We connect Node-Red to IBM IoT to get the current, and voltage, and calculate bills. From Node-Red we send values to the MIT APP. From the app, we can view the details of the person.

FLOWCHART

Flow Chart

MIT APP:

MIT App

ADVANTAGES & DISADVANTAGES

Advantages:

1) Increase ease of access for employers

2) Keep track of who comes and goes

3) Protect against unwanted visitors

4) create a safe work Environment

5) Reduce Theft and Accidents

6) Easy Monitoring

Disadvantages:

1) Access control systems can be hacked.

 APPLICATIONS

1) Large Industries

2) In Airports

3) Government Sectors.

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AI-Powered News Articles Search Web Application using IBM Cloud and Slack Bot

Purpose

The purpose of this News Articles Search project is to develop a web application that fulfills our need to find the obvious and recent news articles and update them regularly. After the discovery service is integrated with Slack Workspace, it gives a bot as an intermediate to search news with a keyword. In addition, the web application also analysis the sentimental present in the news article and extracts keywords and concepts to make it an attractive and understandable format for the user to understand what is important and what is not.

Literature Survey

Existing Problem

News Article applications that are currently used are confusing the users, with multiple functions and an overflow of design, these applications still do not fulfill the demand of the news users and often get results from the past days, weeks, and months, which confuses the users only. Also, there is no way in these apps to know what the approximate feeling of the audience is regarding the article or news topic, which makes it less interactive and very low number of users.

Proposed Solution

Discovery service available in the IBM cloud, creating a web app to get the latest and obvious news results fast and user friendly. When integrated with Red Node Flow, the IBM Discovery Service can create a simple, engaging, organized user interface that provides users with relevant news articles as Discovery Service continuously crawls the web for the latest news to provide. By adding emotional analysis, we make the user interface more interactive, easier to understand, and attain more users.

Project Tasks

1. Creating and deploying the Watson discovery news app locally.
2. Integrating Slack-bot with Watson Discovery.
3. Creating node-red user Interface.
4. Integrating node-red UI with Watson Discovery.

Flow Chart:

Flow Chart

Experimental Investigation

First, we use the discovery service to configure and query adding our collection. A red node application is created in which the discovery is integrated and a simple flow of 5 nodes is created to enter the news topic and the results show related news. Slack then integrates with Watson’s discovery service so that news articles can be searched on more than one platform, and finally, sentiment analysis is performed on the data/news articles being searched.

Advantages and Disadvantages

1. The News Articles Search web application provides interactive sentiment analysis.
2. It can be accessed through more than one platform which is slack.
3. It collects and delivers the most recent data.
4. It does not have additional features like storing news history.
5. It does not provide a stand-alone app but rather uses a web application.

Applications

1. This News Articles Search web application can be used by any user in need of accurate and fast results.
2. Can be used by firms and organizations.
3. Can be used in the stock market to make predictions.

Bot on slack

Bot on slack

Conclusion

This News Articles Search project gives some basic working knowledge of the Watson Discovery Service and showed you how to use Discovery along with JavaScript and Node.js to build your own news mining web application. It also gives insight into real-world applications of AI and helps us understand Slack better.

Future Scope

1. The IBM Cloud and Slack Bot web application can be integrated with the cloud and made into a mobile app to use on it on-the-go.
2. Additional sentiments can be added to the UI.
3. Related and trending news topics can be shown to the user.

 

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Employee Work Appreciation based on Customers Feedback Project using IBM Cognitive Services

PURPOSE OF THE PROJECT

The purpose of the Employee Work Appreciation based on Customers Feedback project is to appreciate the employee’s work based on the feedback given by the customers and the employees. The feedback given by the customers to a respective employee is analyzed i.e. is it polite feedback/satisfied feedback…etc. Based on that, employees will be given appreciation.

Block Diagram:

Block Diagram

Flow Chart Diagram:

Flow Chart Diagram

HARDWARE/SOFTWARE SOLUTION

1. IBM Cloud
2. IBM Watson Tone Analyzer
3. Node-RED
4. Create an employee database in the IBM cloud and upload sample 4 employees feedback JSON files.

EXPERIMENTAL INVESTIGATION

1. Choose a Project Idea:

Employee Work Appreciation based on Customers Feedback.

2. Conduct Background Research
3. Compose a Hypothesis:
Based on our Study and the information gathered we can decide how well an employee is appreciable.
4. Design your Experiment:
First, we need to collect employee reports in which feedback is given by the customers.
Next, we give those reports as input to the Tone analyzer service which predicts the emotion behind the feedback.
5. Draw Conclusions:
After Building our model, we can able to know how well the employee is working and appreciate the employee’s work based on analysis of customer feedback.

Result Screenshots:

Sentiment Analysis:

Sentiment Analysis

Cloudant Dashboard
APPLICATIONS

This Employee Work Appreciation application is used for deciding whether the employee’s work is up to the mark or not.

This system can also be used for employees to check whether they receiving good or bad feedback from customers so that they will improve their work.

Node-RED Flow:

Node-RED Flow

IBM Cloud databases

Input employee reports stored in the employee database

IBM Cloud databases
Output sentiment by tone analyzer stored in sentiment database.

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Development of E-Commerce Store Portal using Bootstrap and ReactJS

The main aim of this project is to design, develop, and implement of E-Commerce Store Portal website based on HTML, CSS, Bootstrap, JavaScript, and ReactJS. To give a high openness of administration we will structure the online site that supports local businesses, with the goal that potential clients need not go to a physical shop to purchase items or administrations. The objective of this E-Commerce Store Portal project is to create an e-commerce web portal with a content management system that would allow product information to be updated securely using a system. The E-Commerce Store web portal will have an online interface in the form of an e-commerce website that will allow users to buy goods from the merchants. This web portal will allow local organizations and start-ups to start their businesses and reach out to the market.

INTRODUCTION

This Bootstrap and ReactJS web portal project is aimed at developing an online static website for an E-commerce store that can be used by people to list their business on the website and will also provide customers to buy the products directly from the store. The website is based on HTML, CSS, Bootstrap, JavaScript, and React. Customers can buy the products directly from the store. This will help local businesses to register their products on the website. It will eventually help local businesses to increase their profits and people to buy the goods from the comfort of their homes. Users can see the products from the website. Our website will contain a Homepage where all the basic information about the store and details of the products will be available. This site is easy to operate and user-friendly.

OBJECTIVE OF THE PROJECT

The web portal will have an online interface in the form of an E-commerce website that will allow users to buy goods from the merchants. This web portal will allow local organizations and start-ups to start their businesses and reach out to the market

MOTIVATION

Online shopping practices are increasing rapidly, thanks to digitalization. Online E-commerce store owners are always eager to know how to increase traffic on their E-commerce sites and how to increase their profits to earn more revenue.  Hence by this, bringing together the various local businesses to a single platform so that anyone can access them anywhere according to their need. So, with the increasing importance of online sales and the growing number of customers visiting online stores we are going to develop a website that helps to save the time of the users. This website encourages local businesses to create their online store and supports them to run their business to grow.

E-Commerce Store Portal

Benefits of the proposed work

• Saves time for customers in quickly view various items on the E-Commerce portal.
• The ability to view and purchase items anytime, from anywhere with Internet access.
• Provides information about resort facilities.
• User-friendly interface.
• No Convenience fees.
• Total features of E-Commerce Website are accessible.
• Easy to use and simple to understand.
• Quick and save lots of time.

Modules and their functionalities:

1. Dashboard: This is the home page of our website.
2. Hawkers: This consist of all the hawkers available online for selling their products.
3. Feedback: The feedback area consists of all the feedback given by buyers.
4. Vendors: This contains information about the vendors and their products.
5. Place Order: This is used for placing an order of the product of your choice.
6. About Us: This page consists information of about the team behind the idea of promoting local businesses.

Implementation and User Interface

This E-Commerce Store Portal project is implemented with the help of Visual Code.

The user interface design was one of the core tasks in this project. The aim of UI design is to make the E-commerce application to be accepted and used easily.

Software Requirements:

  • Macintosh /Microsoft Windows /Linux
  • Virtual Studio Code or any other text editor
  • Chrome or any other browser
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IoT based Attendance System Project Using Blockchain and JAVA MySQL

The success of this IoT-based Attendance System app will ensure that many more parents and organizations will be motivated to use this common platform. It becomes complicated when strength is more. With the increase in technology, attendance monitoring is designed with android or web-based applications. However, the intention of this design is to provide a Blockchain-based app that can be downloaded and used by the organization with no third-party control to meddle with the data.

There is an update option to modify attendance when it’s needed. However, the modifications are recorded and tracked, just in case, it’s a fraudulent activity. Attendance is captured using IOT automatically and is entered into the blockchain which makes the data tamper-proof, secure and robust. The privacy of its users is preserved because the user ids are generated by a trusted third party. This data is available for the government for Scholarships and other related decision-making.

IOT-based Attendance System using Blockchain is an application that is made for students and faculty of a particular college to maintain students’ attendance which is captured through an IOT device(biometric) and then the attendance is stored in the Blockchain. Blockchain is used in this application to ensure safety and a tamper-free environment as the data cannot be manipulated and is used for government purposes.

Objectives

Generally, in many institutions attendance is monitored and marked using conventional systems like android or other similar web applications. Few conventional databases do not have features like checking whether any information has experienced unauthorized changes or not. In this system when the data is entered into the blockchain, no one is allowed to edit or delete the data.

This makes the application transparent and different from other web-based attendance systems as IoT is used to capture attendance through biometrics of the students in the class. Students’ poor attendance rate is one of the most challenging problems tackled by college management today. With the help of this application, student attendance rates can be improved which is also helpful for the government to take precise decisions regarding scholarship-like schemes for students with transparent data. Using blockchain and some encryption techniques, this application is made secure from any manipulations.

Student Login Page

Methodology

The fingerprint module will collect fingerprint data from multiple users and sends it over the internet to the website. The IoT-based Attendance System website is coded in HTML, and CSS, JSP has a MySQL database, and records of attendance are stored in Blockchain. By logging into the website, the student can view all their attendance records. The timestamp of students’ attendance is encrypted and stored in the blockchain.

CONCLUSION AND FUTURE SCOPE

This IoT-based Attendance System application helps to automize the attendance system and makes it easy to manage all the data. Encryption, decryption, and blockchain make the application very secure. The application has a very user-friendly UI and is made to keep UI and UX in consideration.

The future enhancement of this IoT based Attendance System application is

  • To use Ethereum to make the application up to date with the technologies
  • To generate automatic weekly and monthly reports

DATABASE TABLES SCREENSHOTS

Tables in the project.
Test case showing the home page after pasting the URL in the browser
Test case showing navbar functionalities working.
Test case showing login is done and navigated to the home page
Test case showing student registration is working.
Test case showing faculty registration
Test case showing faculty registration is working.
Test case showing attendance stored in blockchain

IoT based Attendance System Using Blockchain
Test case showing student’s attendance records.
Test case to get student report
Test case showing Student’s attendance report.
Test case showing download report is working
Test case showing all student details.
Test case showing all student’s attendance records.

Flow Chart Diagram:

Flow Chart

Architecture Diagram

Architecture Diagram

Usecase Diagram:

usecase diagram

Software Requirements

Programming Language: Java
Graphical User Interface: HTML, CSS with Bootstrap, JSP
Libraries: MYSQL connector jar file, Apache Tomcat jar file
Encryption Algorithm: SHA-256
API: JDBC
Framework: Java EE
Tool: Eclipse, MYSQL

Hardware Requirements:

IOT Fingerprint Scanner

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Resorts Management System Full Stack & Bootstrap Project

ABSTRACT

Resorts Management System Full Stack Website which is based on the user interface that is front end project which can be used by the customers to access the different types of rooms according to their needs and other facilities of the resort which include a banquet hall, restaurant service, rooftop pool service, etc. On our Resorts Management System website, we have included all the relevant details that user wants to access while searching for a resort, it has all valuable data or information.

Also if the user has any query regarding any service they can send us the message for the website. In our project, the Resort website that we have made is fully responsive which helps users to access it on any device or at anytime, anywhere. This application will help to improve services for tourists and also improve the revenue source for our resort.

OBJECTIVE

In the present time, there is a great rush in Resorts, as these have become a necessity for everyone in the society. People travel a lot, stay in hotels and resorts, goes to the hotels for functions, meetings, and refreshments. Our Resorts Management System project is developed keeping in mind the general needs of the customers when he goes to the resort. We cannot deny that we are now in much more technological improvement and especially for business, shifting from a manual process to online.

It focuses on giving the customer all the information about the park and its activities. If a customer wants to come to the park, he can see the facilities available and know the park rates’ impact online. This will also save time for our customers as well as the administration with online booking instead of on-site booking. This Resorts Management System is very secure due to the availability of login and password options. Creating profits and achieving customer satisfaction is the main goal of our system.

Providing customer satisfaction is the main objective of our project. And we have also been taking care of the expectations of the users when they search for some resort for their holiday or any other event. It focuses on giving the customer all the information about the resort, and photos of the resort, and also help them to see the various room in the resort and book them in advance, various other pages are the About Us page, Facilities Page, Faqs page and Contact Us page, Blog Page. If any customer is willing to come to the resort, he/she can see the facilities available and can know the cost-effectiveness of the resort online.

This will also save time for our customers as well as management by booking online instead of booking on the spot. The resort system Full Stack & Bootstrap project’s main idea is to develop an online web-based application that is accessible to all and to create a scope for visiting tourists from different geographic locations. 

DETAILS OF SOFTWARE USED

Technology Used:

  • HTML: The page layout will be designed in HTML
  • CSS: It is used for designing
  • JAVASCRIPT: To Program the behavior of web pages
  • Bootstrap: HTML, CSS, and JavaScript framework for creating responsive, mobile-friendly websites.

Resort Website

Software:

  • Microsoft Windows 7/8/10 or Linux
  • Vs Code or any other text editor
  • Chrome or any other browser

TEAM CONTRIBUTION

Teamwork plays a vital role to make any project successful. It needs the participation of every single member. Our team comprises four members and work will be equally divided among each member so that every member of the group can contribute and can give their best efforts on the Resorts Management System project.

LIMITATIONS OF THE SYSTEM PROPOSED

Besides the above achievements, we still feel the project has some limitations, listed below:

  • Limited information provided by this system
  • Since it is an online Resort project, customers need an internet connection
  • People who are not familiar with computers or using online websites can’t use this software
  • Heavy traffic leads to failure or long wait issues

CONCLUSION

Online has got a clear advantage over the manual system. The Online Resort system is more reliable, efficient, and fast at the end of the project. I can say that online websites play a very crucial role in the development of the firm.

  • Thus we have proposed a Resort Fullstack Website.
  • It eliminates the 3rd party website completely ( MakeMyTrip, Goibibo, Trivago )
  • This software aims at reducing paperwork & provide multiple facilities to users with fewer efforts and Access to the Portal according to choice & availability.

We have prepared a full-fledged working website on named Resorts Management System. It is a website based on the Resort Management system and displays various facilities and services offered by the resort. We have displayed various features of our resort-like hotels, rooftop, spa, swimming pools, banquet halls, etc. The central objective of our Full Stack & Bootstrap Project website is to provide an online facility for accessing all the services of our resort.

We have created a platform where customers can directly communicate with us and can overcome the problems of manual system and third-party platform issues. This Full Stack & Bootstrap Project aims at reducing paperwork and provides multiple facilities to users with less effort. Users can access the portal according to choice and availability.