Project synopsis on

Subscribe our YouTube channel for latest project videos and tutorials Click Here

Python, Django and MySQL Project on Online Health Supplement Store

This Online Health Supplement Store project has been developed using Python, Django, and MySQL. At Freeprojectz.com, we offer a variety of easy-to-develop Python projects suitable for final year college students. Students can download the best Python code projects based on their requirements. The primary goal of this Online Health Supplement Store Project in Python is to manage all details related to Health Supplement Items, Health Supplement Items Types, Companies, Orders, Order Items, and more. The project features two types of users: Customers and Admins. Admin can add the new Health Supplement Items, category and types and customer can buy any Health Supplement Items. This major Python project have two view admin and customer who will manage the whole project. Students can download free Python MySQL academic projects complete with source code, database, and documentation.

Below, you will find screenshots and a demo of the project. Check them out for more details.

Modules and Description of Online Health Supplement Store Project:

Customer Module:

This module provides all functionalities related to customers. Students can download online Python projects, including final year academic applications. It tracks all customer information and details. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for customers. This is a role-based module where the admin can perform all operations on data, but customers can only view and update their own data, ensuring access level restrictions.

Features of Customer Module:

  • Admin can add new customer records
  • Admin can view the list of customer details
  • Only admin can edit and update customer records
  • Admin can delete customer records
  • All customer forms are validated on the client side using JavaScript
  • Customers can view and update their details

Health Supplement Items Module:

This module manages Health Supplement Items data. All Health Supplement Items are managed by the admin, and customers can view Health Supplement Items. Admins can filter and view the list of all Health Supplement Items.

Features of Health Supplement Items Module:

  • Admin can manage Health Supplement Items
  • Admin can edit/delete Health Supplement Items
  • Admin can view the list of all Health Supplement Items
  • Customers can view Health Supplement Items

Health Supplement Items Type Module:

This module manages Health Supplement Items types. All Health Supplement Items types are managed by the admin, and customers can view Health Supplement Items types.

Features of Health Supplement Items Type Module:

  • Admin can manage Health Supplement Items types
  • Admin can edit/delete Health Supplement Items types
  • Admin can view the list of all Health Supplement Items types
  • Customers can view Health Supplement Items types

Health Supplement Items Company Module:

This module manages Health Supplement Items companies. All Health Supplement Items companies are managed by the admin, and customers can view Health Supplement Items companies.

Features of Health Supplement Items Company Module:

  • Admin can manage Health Supplement Items companies
  • Admin can edit/delete Health Supplement Items companies
  • Admin can view the list of all Health Supplement Items companies
  • Customers can view Health Supplement Items companies

Order Module:

This module manages customer orders. It is a key module in the Online Health Supplement Store project developed using Python, Django, and MySQL. All orders are managed by the admin, and customers can view their orders and payment receipts.

Features of Order Module:

  • Admin can manage orders
  • Admin can edit/delete orders
  • Admin can view the list of all orders
  • Customers can view their orders

Item Module:

This module manages items. All items are managed by the admin, and customers can view their order items.

Features of Item Module:

  • Admin can manage items
  • Admin can edit/delete items
  • Admin can view the list of all items
  • Customers can view their order items

Order Status Update Module:

This module provides functionalities related to order status updates. It tracks all information and details of order status updates. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for order status updates.

Features of Order Status Update Module:

  • Admin can add new order status updates
  • Admin can view the list of order status update details
  • Only admin can edit and update order status update records
  • Admin can delete order status update records
  • All order status update forms are validated on the client side using JavaScript

Functionality Performed by Admin User:

These are the functionalities performed by admin users:

  • Login for Admin
  • Forgot password for Admin
  • Edit Profile for Admin
  • Change Password for Admin
  • Logout Functionality
  • Dashboard for Admin User
  • Manage Customer
    • Adding New Customer
    • Edit Existing Customer
    • View Customer Details
    • List All Customers
  • Manage Health Supplement Items
    • Adding New Health Supplement Items
    • Edit Existing Health Supplement Items
    • View Health Supplement Items Details
    • List All Health Supplement Items
  • Manage Health Supplement Items Company
    • Adding New Health Supplement Items Company
    • Edit Existing Health Supplement Items Company
    • View Health Supplement Items Company Details
    • List All Health Supplement Items Companies
  • Manage Health Supplement Items Type
    • Adding New Health Supplement Items Type
    • Edit Existing Health Supplement Items Type
    • View Health Supplement Items Type Details
    • List All Health Supplement Items Types
  • Manage Order
    • Adding New Order
    • Edit Existing Order
    • View Order Details
    • List All Orders
  • Manage Order Item
    • Adding New Order Item
    • Edit Existing Order Item
    • View Order Item Details
    • List All Order Items
  • Manage Order Status Update
    • Adding New Order Status Update
    • Edit Existing Order Status Update
    • View Order Status Update Details
    • List All Order Status Updates
  • Reports of the Online Health Supplement Store Project
    • Report of all Customers
    • Report of all Health Supplement Items
    • Report of all Health Supplement Items Companies
    • Report of all Health Supplement Items Types
    • Report of all Orders
    • Report of all Order Items
    • Report of all Order Statuses

Technology Used in the Online Health Supplement Store Project

This project has been developed using the following technologies:

  • HTML: Page layout designed in HTML
  • CSS: Used for all design aspects
  • JavaScript: Used for validation tasks and animations
  • Python: All business logic implemented in Python
  • MySQL: MySQL database used for the project
  • Django: Project developed using the Django Framework

Supported Operating Systems

This project can be configured on the following operating systems:

  • Windows: Easily configured on Windows OS. Requires Python 2.7, PIP, and Django.
  • Linux: Compatible with all versions of Linux OS.
  • Mac: Easily configured on Mac OS.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Online Health Supplement Store

Python, Django and MySQL Project on Online Books Delivery Store

This Online Books Delivery Store project has been developed using Python, Django, and MySQL. At Freeprojectz.com, we offer a variety of easy-to-develop Python projects suitable for final year college students. Students can download the best Python code projects based on their requirements. The primary goal of this Online Books Delivery Store Project in Python is to manage all details related to Book Items, Book Items Types, Companies, Orders, Order Items, and more. The project features two types of users: Customers and Admins. Admin can add the new Book Items, category and types and customer can buy any Book Items. This major Python project have two view admin and customer who will manage the whole project. Students can download free Python MySQL academic projects complete with source code, database, and documentation.

Below, you will find screenshots and a demo of the project. Check them out for more details.

Modules and Description of Online Books Delivery Store Project:

Customer Module:

This module provides all functionalities related to customers. Students can download online Python projects, including final year academic applications. It tracks all customer information and details. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for customers. This is a role-based module where the admin can perform all operations on data, but customers can only view and update their own data, ensuring access level restrictions.

Features of Customer Module:

  • Admin can add new customer records
  • Admin can view the list of customer details
  • Only admin can edit and update customer records
  • Admin can delete customer records
  • All customer forms are validated on the client side using JavaScript
  • Customers can view and update their details

Book Items Module:

This module manages Book Items data. All Book Items are managed by the admin, and customers can view Book Items. Admins can filter and view the list of all Book Items.

Features of Book Items Module:

  • Admin can manage Book Items
  • Admin can edit/delete Book Items
  • Admin can view the list of all Book Items
  • Customers can view Book Items

Book Items Type Module:

This module manages Book Items types. All Book Items types are managed by the admin, and customers can view Book Items types.

Features of Book Items Type Module:

  • Admin can manage Book Items types
  • Admin can edit/delete Book Items types
  • Admin can view the list of all Book Items types
  • Customers can view Book Items types

Book Items Company Module:

This module manages Book Items companies. All Book Items companies are managed by the admin, and customers can view Book Items companies.

Features of Book Items Company Module:

  • Admin can manage Book Items companies
  • Admin can edit/delete Book Items companies
  • Admin can view the list of all Book Items companies
  • Customers can view Book Items companies

Order Module:

This module manages customer orders. It is a key module in the Online Books Delivery Store project developed using Python, Django, and MySQL. All orders are managed by the admin, and customers can view their orders and payment receipts.

Features of Order Module:

  • Admin can manage orders
  • Admin can edit/delete orders
  • Admin can view the list of all orders
  • Customers can view their orders

Item Module:

This module manages items. All items are managed by the admin, and customers can view their order items.

Features of Item Module:

  • Admin can manage items
  • Admin can edit/delete items
  • Admin can view the list of all items
  • Customers can view their order items

Order Status Update Module:

This module provides functionalities related to order status updates. It tracks all information and details of order status updates. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for order status updates.

Features of Order Status Update Module:

  • Admin can add new order status updates
  • Admin can view the list of order status update details
  • Only admin can edit and update order status update records
  • Admin can delete order status update records
  • All order status update forms are validated on the client side using JavaScript

Functionality Performed by Admin User:

These are the functionalities performed by admin users:

  • Login for Admin
  • Forgot password for Admin
  • Edit Profile for Admin
  • Change Password for Admin
  • Logout Functionality
  • Dashboard for Admin User
  • Manage Customer
    • Adding New Customer
    • Edit Existing Customer
    • View Customer Details
    • List All Customers
  • Manage Book Items
    • Adding New Book Items
    • Edit Existing Book Items
    • View Book Items Details
    • List All Book Items
  • Manage Book Items Company
    • Adding New Book Items Company
    • Edit Existing Book Items Company
    • View Book Items Company Details
    • List All Book Items Companies
  • Manage Book Items Type
    • Adding New Book Items Type
    • Edit Existing Book Items Type
    • View Book Items Type Details
    • List All Book Items Types
  • Manage Order
    • Adding New Order
    • Edit Existing Order
    • View Order Details
    • List All Orders
  • Manage Order Item
    • Adding New Order Item
    • Edit Existing Order Item
    • View Order Item Details
    • List All Order Items
  • Manage Order Status Update
    • Adding New Order Status Update
    • Edit Existing Order Status Update
    • View Order Status Update Details
    • List All Order Status Updates
  • Reports of the Online Books Delivery Store Project
    • Report of all Customers
    • Report of all Book Items
    • Report of all Book Items Companies
    • Report of all Book Items Types
    • Report of all Orders
    • Report of all Order Items
    • Report of all Order Statuses

Technology Used in the Online Books Delivery Store Project

This project has been developed using the following technologies:

  • HTML: Page layout designed in HTML
  • CSS: Used for all design aspects
  • JavaScript: Used for validation tasks and animations
  • Python: All business logic implemented in Python
  • MySQL: MySQL database used for the project
  • Django: Project developed using the Django Framework

Supported Operating Systems

This project can be configured on the following operating systems:

  • Windows: Easily configured on Windows OS. Requires Python 2.7, PIP, and Django.
  • Linux: Compatible with all versions of Linux OS.
  • Mac: Easily configured on Mac OS.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Online Books Delivery Store

Python, Django and MySQL Project on Online Toys Store

This Online Toys Store project has been developed using Python, Django, and MySQL. At Freeprojectz.com, we offer a variety of easy-to-develop Python projects suitable for final year college students. Students can download the best Python code projects based on their requirements. The primary goal of this Online Toys Store Project in Python is to manage all details related to Toys Items, Toys Items Types, Companies, Orders, Order Items, and more. The project features two types of users: Customers and Admins. Admin can add the new Toys Items, category and types and customer can buy any Toys Items. This major Python project have two view admin and customer who will manage the whole project. Students can download free Python MySQL academic projects complete with source code, database, and documentation.

Below, you will find screenshots and a demo of the project. Check them out for more details.

Modules and Description of Online Toys Store Project:

Customer Module:

This module provides all functionalities related to customers. Students can download online Python projects, including final year academic applications. It tracks all customer information and details. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for customers. This is a role-based module where the admin can perform all operations on data, but customers can only view and update their own data, ensuring access level restrictions.

Features of Customer Module:

  • Admin can add new customer records
  • Admin can view the list of customer details
  • Only admin can edit and update customer records
  • Admin can delete customer records
  • All customer forms are validated on the client side using JavaScript
  • Customers can view and update their details

Toys Items Module:

This module manages Toys Items data. All Toys Items are managed by the admin, and customers can view Toys Items. Admins can filter and view the list of all Toys Items.

Features of Toys Items Module:

  • Admin can manage Toys Items
  • Admin can edit/delete Toys Items
  • Admin can view the list of all Toys Items
  • Customers can view Toys Items

Toys Items Type Module:

This module manages Toys Items types. All Toys Items types are managed by the admin, and customers can view Toys Items types.

Features of Toys Items Type Module:

  • Admin can manage Toys Items types
  • Admin can edit/delete Toys Items types
  • Admin can view the list of all Toys Items types
  • Customers can view Toys Items types

Toys Items Company Module:

This module manages Toys Items companies. All Toys Items companies are managed by the admin, and customers can view Toys Items companies.

Features of Toys Items Company Module:

  • Admin can manage Toys Items companies
  • Admin can edit/delete Toys Items companies
  • Admin can view the list of all Toys Items companies
  • Customers can view Toys Items companies

Order Module:

This module manages customer orders. It is a key module in the Online Toys Store project developed using Python, Django, and MySQL. All orders are managed by the admin, and customers can view their orders and payment receipts.

Features of Order Module:

  • Admin can manage orders
  • Admin can edit/delete orders
  • Admin can view the list of all orders
  • Customers can view their orders

Item Module:

This module manages items. All items are managed by the admin, and customers can view their order items.

Features of Item Module:

  • Admin can manage items
  • Admin can edit/delete items
  • Admin can view the list of all items
  • Customers can view their order items

Order Status Update Module:

This module provides functionalities related to order status updates. It tracks all information and details of order status updates. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for order status updates.

Features of Order Status Update Module:

  • Admin can add new order status updates
  • Admin can view the list of order status update details
  • Only admin can edit and update order status update records
  • Admin can delete order status update records
  • All order status update forms are validated on the client side using JavaScript

Functionality Performed by Admin User:

These are the functionalities performed by admin users:

  • Login for Admin
  • Forgot password for Admin
  • Edit Profile for Admin
  • Change Password for Admin
  • Logout Functionality
  • Dashboard for Admin User
  • Manage Customer
    • Adding New Customer
    • Edit Existing Customer
    • View Customer Details
    • List All Customers
  • Manage Toys Items
    • Adding New Toys Items
    • Edit Existing Toys Items
    • View Toys Items Details
    • List All Toys Items
  • Manage Toys Items Company
    • Adding New Toys Items Company
    • Edit Existing Toys Items Company
    • View Toys Items Company Details
    • List All Toys Items Companies
  • Manage Toys Items Type
    • Adding New Toys Items Type
    • Edit Existing Toys Items Type
    • View Toys Items Type Details
    • List All Toys Items Types
  • Manage Order
    • Adding New Order
    • Edit Existing Order
    • View Order Details
    • List All Orders
  • Manage Order Item
    • Adding New Order Item
    • Edit Existing Order Item
    • View Order Item Details
    • List All Order Items
  • Manage Order Status Update
    • Adding New Order Status Update
    • Edit Existing Order Status Update
    • View Order Status Update Details
    • List All Order Status Updates
  • Reports of the Online Toys Store Project
    • Report of all Customers
    • Report of all Toys Items
    • Report of all Toys Items Companies
    • Report of all Toys Items Types
    • Report of all Orders
    • Report of all Order Items
    • Report of all Order Statuses

Technology Used in the Online Toys Store Project

This project has been developed using the following technologies:

  • HTML: Page layout designed in HTML
  • CSS: Used for all design aspects
  • JavaScript: Used for validation tasks and animations
  • Python: All business logic implemented in Python
  • MySQL: MySQL database used for the project
  • Django: Project developed using the Django Framework

Supported Operating Systems

This project can be configured on the following operating systems:

  • Windows: Easily configured on Windows OS. Requires Python 2.7, PIP, and Django.
  • Linux: Compatible with all versions of Linux OS.
  • Mac: Easily configured on Mac OS.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Online Toys Store

Fake News Detection System using Python Machine Learning

The Fake News Detection System is an innovative machine learning project designed to classify online news articles as either real or fake. In today’s digital world, misinformation spreads quickly across social media and online platforms. This project provides a practical solution by applying Natural Language Processing (NLP) techniques and AI algorithms to verify the authenticity of news content. Developed as a Python Django web application with a MySQL database, this project is ideal for final year students looking for hands-on experience in AI, Machine Learning, and Data Science.

About the Project

The Fake News Detection System uses text preprocessing techniques such as stopword removal, lemmatization, and punctuation handling. The processed text is then transformed into numerical features using TF-IDF vectorization and combined with additional parameters like text length, punctuation percentage, and capitalization ratio. A Logistic Regression model trained on labeled datasets of fake and real news provides accurate predictions. Evaluation metrics such as accuracy score and classification report validate the model’s performance. By using sparse matrix operations, the system efficiently handles large text datasets without consuming excess memory.

Web Application Features

The complete system has been deployed as a Django 5 web application with user-friendly interfaces. Key modules include:

  • Home Page: Static page with project introduction and highlights.
  • About Page: Explains the working of the Fake News Prediction System.
  • Login Page: Secure admin login with validation from the MySQL database.
  • Contact Us: Static page for reaching out to the project developer.
  • System Information: Displays the libraries, frameworks, and modules used in the project.
  • Fake News Detection Module: Interactive form where users can input any news content to check its authenticity.
  • Detection History: Stores and displays past news checks for easy tracking.
  • Dataset Information: Provides details about the dataset used for training and testing the model.

Why Choose This Project?

This project is an excellent choice for B.Tech, M.Tech, MCA, and Computer Science final year students. It covers important concepts of Artificial Intelligence, Machine Learning, and Web Development. Students will gain practical skills in Python programming, Django framework, MySQL database integration, Natural Language Processing, and model deployment. The Fake News Detection System not only serves as a valuable academic project but also addresses a highly relevant real-world problem: the spread of fake news.

Conclusion

With its combination of AI-powered news verification and a modern web application, this Fake News Detection System is a complete end-to-end project. It can be deployed on local servers or cloud platforms, extended with APIs, or integrated with social media monitoring tools. For students looking for a final year machine learning project that is both practical and impactful, this is a perfect choice.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Fake News Detection System

Breast Cancer Prediction System Project in Python Django with Machine Learning

The Breast Cancer Prediction System is one of the most popular and in-demand machine learning projects for students. It is designed using Python Django framework along with powerful machine learning algorithms and libraries. This project is highly suitable for final year computer science projects, mini projects with source code, and for students looking to implement a medical diagnosis prediction system using datasets.

This web-based application helps predict whether a patient is likely to have Benign (non-cancerous) or Malignant (cancerous) tumors by analyzing medical parameters. The system uses the Breast Cancer Dataset and applies RandomForestClassifier with StandardScaler for feature scaling and classification_report for model evaluation. The application ensures accurate results and maintains a prediction history for user reference.

Features of Breast Cancer Prediction System

  • Home Page : Static informative landing page.
  • About Page : Static page with project details.
  • Dashboard : Displays all menu items and modules.
  • Breast Cancer Prediction : Takes user input and predicts whether the tumor is cancerous or not.
  • Dataset Information : Provides dataset description and statistical analysis.
  • Prediction History : Shows past records of user predictions with results.
  • Login Module : User authentication for accessing prediction features.
  • Change Password : Allows users to reset or update account password.
  • Logout : Securely logs out users from the system.

Libraries and Algorithms Used

The project uses the following Python libraries for machine learning:

  • Django==5.2.6 (Web Framework)
  • joblib==1.5.2 (Model persistence)
  • mysqlclient==2.2.7 (Database integration)
  • numpy==2.3.3 and pandas==2.3.2 (Data handling)
  • scikit-learn==1.7.2 and scipy==1.16.2 (Machine Learning)
  • StandardScaler (Feature scaling)
  • RandomForestClassifier (Classification algorithm)
  • classification_report (Performance evaluation)

This Python Django project with source code and dataset is perfect for students who want to learn how to integrate machine learning algorithms in web applications. It is one of the best machine learning final year projects that combines data science, artificial intelligence, and web development.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Breast Cancer Prediction System

The Car Parking System Project is a final year project developed using .NET Core Web API, Angular 20, and SQL Server Database in Visual Studio 2022. This project provides complete parking slot management, vehicle entry/exit tracking, parking charges calculation, and reports generation.

Features of Car Parking Management System

  • Parking Slot Allocation and Availability Tracking
  • Vehicle Entry & Exit Management
  • Automatic Parking Charges Calculation
  • Generate Reports and Search by Car Number
  • Admin Dashboard with CRUD Operations
  • SQL Server Database Integration

Technology Stack

This Car Parking System is developed with modern technologies:

  • Backend: .NET Core Web API
  • Frontend: Angular 20
  • Database: SQL Server
  • IDE: Visual Studio 2022

Why Choose This Final Year Project?

Many computer science students search for final year project ideas. The Car Parking Management System is an ideal choice because it covers real-world scenarios like parking slot booking, vehicle monitoring, and reporting system. This project improves understanding of full stack development with .NET Core and Angular 20.

Download & Learn

You can download the Car Parking System Project with source code or watch the step-by-step tutorial to learn how to develop full stack projects with Angular 20, .NET Core Web API, and SQL Server.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Car Parking System Project in .NET Core API and Angular 20

Spam Detection Web Application using Python Django and Machine Learning

Project Description

The Spam Detection Web Application is a complete Email Spam Detection Project developed using Python 3, Django 5, and MySQL Database. This project is designed to intelligently classify emails as Spam or Not Spam using a Machine Learning Spam Classifier. The main algorithm applied here is TF-IDF Naive Bayes Spam Detection, which is one of the most effective approaches for text classification. This system is highly useful for final year projects in Python Django and can be an excellent choice for students who want to work on AI-based projects.

This Django 5 Project with MySQL comes with multiple modules including Home Page, About Project, User Login, Spam Detection, and Spam Detection with Detection History. The Home Page provides an overview of the system, the About Project section explains its scope and technologies, while the Login feature allows secure access for users. The Spam Detection module is the core feature where users can paste their email content and the system will analyze it using Python Machine Learning Projects logic to detect if the email is spam. All detection results are saved into the MySQL database and can be reviewed later in the Detection History section.

The advantage of this AI Email Filtering System is that it uses text preprocessing, TF-IDF feature extraction, and Naive Bayes classification to deliver accurate results. Unlike traditional spam filters, this Machine Learning Spam Classifier learns from past data and improves over time. It ensures that students not only understand how to build a web application but also gain experience with Python machine learning projects. This makes it an excellent option for final year student project ideas and also for professionals looking for practical machine learning projects download.

The project has been developed with a user-friendly interface using HTML5 and CSS3. The front-end design makes it easy for students and users to interact with the system. When combined with the power of Django 5 Project with MySQL, it becomes a complete end-to-end student project on spam detection. The integration of Spam Detection with Detection History ensures that users can revisit their old results, making this project practical and real-world applicable. Many students projects with source code do not provide such completeness, but this project is fully functional.

This project is suitable for students, researchers, and developers who are looking for final year projects in Python Django or those who want to download and learn from machine learning projects. Since spam detection is a widely studied area in cybersecurity, this Email Spam Detection Project helps students understand the importance of AI Email Filtering Systems. It is also a great addition to a portfolio for students who want to showcase their skills in Python Machine Learning Projects.

Overall, this Spam Detection Web Application is a professional-grade project that combines the latest technologies with academic requirements. With features like Spam Detection, Detection History, and a secure login system, it serves as both a learning resource and a practical solution. Students can easily adapt it for their final year student projects, and it is one of the best student project on spam detection examples available for download today.

SEO Keywords

Spam Detection using Python Django, Email Spam Detection Project, Machine Learning Spam Classifier, Spam Detection Web Application, Django 5 Project with MySQL, Python Machine Learning Projects, TF-IDF Naive Bayes Spam Detection, AI Email Filtering System, Student Project on Spam Detection, Spam Detection with Detection History, Final Year Projects in Python Django, Machine Learning Projects Download, Students Projects with Source Code, Final Year Student Project Ideas, AI Projects for Students

Technology Stack

Programming Language: Python 3
Web Framework: Django 5
Database: MySQL
Frontend: HTML5, CSS3
Backend Logic: Django Views + Machine Learning (Naive Bayes + TF-IDF)
Features: Home Page, About Project, User Login, Spam Detection, Detection History

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Spam Detection System Machine Learning Project

Python, Django and MySQL Project on Cloud Kitchen

This Cloud Kitchen project has been developed using Python, Django, and MySQL. At Freeprojectz.com, we offer a variety of easy-to-develop Python projects suitable for final year college students. Students can download the best Python code projects based on their requirements. The primary goal of this Cloud Kitchen Project in Python is to manage all details related to Home Made Food Items, Home Made Food Items Types, Companies, Orders, Order Items, and more. The project features two types of users: Customers and Admins. Admin can add the new Home Made Food Items, category and types and customer can buy any Home Made Food Items. This major Python project have two view admin and customer who will manage the whole project. Students can download free Python MySQL academic projects complete with source code, database, and documentation.

Below, you will find screenshots and a demo of the project. Check them out for more details.

Modules and Description of Cloud Kitchen Project:

Customer Module:

This module provides all functionalities related to customers. Students can download online Python projects, including final year academic applications. It tracks all customer information and details. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for customers. This is a role-based module where the admin can perform all operations on data, but customers can only view and update their own data, ensuring access level restrictions.

Features of Customer Module:

  • Admin can add new customer records
  • Admin can view the list of customer details
  • Only admin can edit and update customer records
  • Admin can delete customer records
  • All customer forms are validated on the client side using JavaScript
  • Customers can view and update their details

Home Made Food Items Module:

This module manages Home Made Food Items data. All Home Made Food Items are managed by the admin, and customers can view Home Made Food Items. Admins can filter and view the list of all Home Made Food Items.

Features of Home Made Food Items Module:

  • Admin can manage Home Made Food Items
  • Admin can edit/delete Home Made Food Items
  • Admin can view the list of all Home Made Food Items
  • Customers can view Home Made Food Items

Home Made Food Items Type Module:

This module manages Home Made Food Items types. All Home Made Food Items types are managed by the admin, and customers can view Home Made Food Items types.

Features of Home Made Food Items Type Module:

  • Admin can manage Home Made Food Items types
  • Admin can edit/delete Home Made Food Items types
  • Admin can view the list of all Home Made Food Items types
  • Customers can view Home Made Food Items types

Home Made Food Items Company Module:

This module manages Home Made Food Items companies. All Home Made Food Items companies are managed by the admin, and customers can view Home Made Food Items companies.

Features of Home Made Food Items Company Module:

  • Admin can manage Home Made Food Items companies
  • Admin can edit/delete Home Made Food Items companies
  • Admin can view the list of all Home Made Food Items companies
  • Customers can view Home Made Food Items companies

Order Module:

This module manages customer orders. It is a key module in the Cloud Kitchen project developed using Python, Django, and MySQL. All orders are managed by the admin, and customers can view their orders and payment receipts.

Features of Order Module:

  • Admin can manage orders
  • Admin can edit/delete orders
  • Admin can view the list of all orders
  • Customers can view their orders

Item Module:

This module manages items. All items are managed by the admin, and customers can view their order items.

Features of Item Module:

  • Admin can manage items
  • Admin can edit/delete items
  • Admin can view the list of all items
  • Customers can view their order items

Order Status Update Module:

This module provides functionalities related to order status updates. It tracks all information and details of order status updates. We have implemented all types of CRUD (Create, Read, Update, Delete) operations for order status updates.

Features of Order Status Update Module:

  • Admin can add new order status updates
  • Admin can view the list of order status update details
  • Only admin can edit and update order status update records
  • Admin can delete order status update records
  • All order status update forms are validated on the client side using JavaScript

Functionality Performed by Admin User:

These are the functionalities performed by admin users:

  • Login for Admin
  • Forgot password for Admin
  • Edit Profile for Admin
  • Change Password for Admin
  • Logout Functionality
  • Dashboard for Admin User
  • Manage Customer
    • Adding New Customer
    • Edit Existing Customer
    • View Customer Details
    • List All Customers
  • Manage Home Made Food Items
    • Adding New Home Made Food Items
    • Edit Existing Home Made Food Items
    • View Home Made Food Items Details
    • List All Home Made Food Items
  • Manage Home Made Food Items Company
    • Adding New Home Made Food Items Company
    • Edit Existing Home Made Food Items Company
    • View Home Made Food Items Company Details
    • List All Home Made Food Items Companies
  • Manage Home Made Food Items Type
    • Adding New Home Made Food Items Type
    • Edit Existing Home Made Food Items Type
    • View Home Made Food Items Type Details
    • List All Home Made Food Items Types
  • Manage Order
    • Adding New Order
    • Edit Existing Order
    • View Order Details
    • List All Orders
  • Manage Order Item
    • Adding New Order Item
    • Edit Existing Order Item
    • View Order Item Details
    • List All Order Items
  • Manage Order Status Update
    • Adding New Order Status Update
    • Edit Existing Order Status Update
    • View Order Status Update Details
    • List All Order Status Updates
  • Reports of the Cloud Kitchen Project
    • Report of all Customers
    • Report of all Home Made Food Items
    • Report of all Home Made Food Items Companies
    • Report of all Home Made Food Items Types
    • Report of all Orders
    • Report of all Order Items
    • Report of all Order Statuses

Technology Used in the Cloud Kitchen Project

This project has been developed using the following technologies:

  • HTML: Page layout designed in HTML
  • CSS: Used for all design aspects
  • JavaScript: Used for validation tasks and animations
  • Python: All business logic implemented in Python
  • MySQL: MySQL database used for the project
  • Django: Project developed using the Django Framework

Supported Operating Systems

This project can be configured on the following operating systems:

  • Windows: Easily configured on Windows OS. Requires Python 2.7, PIP, and Django.
  • Linux: Compatible with all versions of Linux OS.
  • Mac: Easily configured on Mac OS.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Cloud Kitchen

Automatic Question Paper Generator — AI powered exam paper automation

An AI question paper generator built as a Python FastAPI project with LangChain RAG LLM and a modern ReactJS frontend. Generate MCQs, single-choice and subjective questions directly from course PDFs.

This question paper generator project lets users securely log in, upload a course PDF, and instantly generate question papers with AI. It is a full-stack solution — a python reactjs full stack project — combining semantic search with RAG and LLM-powered rephrasing to deliver high-quality, varied question sets.

Secure User Login
Manage uploads and access question sets safely.
PDF Upload & Processing
Splits content into 1000-token chunks with 200-token overlap using RAG with LangChain project techniques.
Multiple Question Types
Supports Single Choice, Multiple Choice, and Subjective formats.
Semantic Vector Search
Uses vector similarity to fetch contextually relevant questions — a core part of this question generator using AI.

After retrieval, questions are refined using LLM based project workflows for clarity and variety. The solution demonstrates FastAPI LangChain integration and is ideal as an AI project for college students or educators exploring machine learning projects 2025.

Why choose this system? It automates exam creation, reduces manual effort, and enables institutions to scale assessment generation — a practical example of education technology AI and a robust question paper automation system.

Get Demo Download Project (ZIP)

Tech stack: Python, FastAPI, LangChain (RAG), LLM, ReactJS — perfect for fastapi project ideas and python ai project tutorial readers.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Automatic Question Paper Generator - AI powered exam paper automation

HTML, CSS, and JavaScript Project on Table Booking System

This Table Booking System project has been developed using HTML, CSS, and JavaScript. The primary goal of this project is to create a static website for a Table Booking System, providing Chef with details about various Menu categories such as food, contact information, address, blogs, menu, images, and more. As this project is built with HTML and CSS, it is a static website and does not involve any dynamic database operations. We offer HTML projects for students, including free downloads of HTML website projects with source code. This project is particularly suitable for DOEACC O Level students as a college project submission. Many 'O' level projects are available with complete source code, fully executed and error-free. We can develop HTML projects with source code for students who want to use HTML projects for O level learning.

Pages of the Table Booking System Project:

  • Home Page: Contains basic information about the Table Booking System.
  • About Page: Provides detailed information about the Table Booking System and its operations.
  • Menu Page: Lists all Menu related to menu management.
  • Foods Page: Lists all news related to Food management.
  • Register Page: Allows users to register on the Table Booking System, with a confirmation message displayed upon successful registration.
  • Contact Page: Enables users to submit their contact details to the Table Booking System.
  • Login: Allows users to log in to the Table Booking System.

Technology Used in the Table Booking System Project

This project has been developed using the following technologies:

  • HTML: Used for designing the page layout.
  • CSS: Used for all the design elements.
  • JavaScript: Used for validation tasks and animations.

Supported Operating Systems

This project can be configured on the following operating systems:

  • Windows: Easily configurable on Windows operating systems.
  • Linux: Compatible with all versions of Linux operating systems.
  • Mac: Easily configurable on Mac operating systems.

Note: This project is best suited for DOEACC 'O' Level projects.

Kindly Call or WhatsApp on +91-8470010001 for getting the Project Synopsis of Table Booking System

Pages

Call FreeProjectz WhatsApp FreeProjectz