Course Manager with AI Feedback

This project is a comprehensive web-based application designed to manage courses, assignments, and submissions, integrated with AI-powered essay feedback and detection. It leverages modern web technologies, encryption, and AI services to provide a seamless and secure experience for instructors and students.

Features

• Course Management: Create, enroll, and delete courses.
• Assignment Management: Add, view, delete, and submit assignments.
• AI Feedback Integration:
  • Essay Feedback: Uses OpenAI's GPT-4 model to provide detailed feedback, including strengths, weaknesses, and a final grade.
  • AI Detection: Identifies whether an essay is likely AI-generated based on sentence structure, fluency, and other linguistic patterns.
• File Encryption: Ensures secure storage of user-uploaded files using the Fernet encryption algorithm.
• User Management:
  • User registration and login with hashed passwords.
  • Role-based features for instructors and students.
• Real-Time Data Access: View active courses, assignments, and user submissions with dynamic updates.

Skills and Technologies

Backend Development

• Python:
  • Flask framework for routing, templates, and user authentication.
  • SQLAlchemy for database management and ORM.
• Encryption:
  • Implemented Fernet encryption for secure file handling.
• Integration with OpenAI API:
  • AI feedback and detection using OpenAI's GPT-4 model.

Database Management

• SQLite:
  • Lightweight, file-based relational database for storing users, courses, assignments, and submissions.

Web Development

• Flask Templates: HTML templates for dynamic, user-friendly interfaces.
• Session Management: Secure handling of user sessions and authentication.

Security

• Password Hashing: Ensures secure storage of user passwords using SHA-256.
• Access Control: Role-based permission system for secure interaction with courses and assignments.

Software Design

• Object-Oriented Design: Modular and scalable design with well-defined models (User, Course, Assignment, etc.).
• Reusable Components: Encapsulation of common functionalities like user management and encryption.

Highlights

• AI-Powered Learning: A unique integration of AI tools to assist in academic learning and evaluation.
• End-to-End Encryption: Robust security for user data and uploaded files.
• Clean and Modular Codebase: Promotes maintainability and scalability for future enhancements.

Purpose

This project serves as a showcase of full-stack development skills, including backend architecture, database design, AI integration, and secure coding practices. It demonstrates expertise in Python programming, web frameworks, and the practical application of AI in education.

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Thank you for exploring this project! Feedback and suggestions are always welcome.