Student Difficulty Course Analyzer 🎓

A comprehensive MERN stack application designed to analyze university course difficulty, predict student workload, and foster academic collaboration through gamification and social learning.

🚀 Key Features

🧠 Predictive Analytics

• Workload Forecasting: AI-driven models to predict expected weekly hours based on historical data.
• Difficulty Predictor: Regression algorithms to estimate course difficulty relative to student GPAs.
• Sentiment Analysis: NLP-powered insights from course reviews.

🎮 Gamification & Engagement

• XP & Leveling System: Earn XP for contributing reviews and helping peers (Novice -> Oracle).
• Leaderboards: Monthly top contributor rankings.
• Achievement Badges: Unlock "Pioneer", "Helper", and "Dean's List" badges.

🤝 Social Learning Hub

• Real-Time Discussions: Socket.io-powered chat channels for every course.
• Peer Upvoting: "Helpful" tags and reputation systems.
• Study Buddy Finder: Matchmaking based on study habits and schedules.

🛡️ Enterprise-Grade Security

• RBAC 2.0: Granular Role-Based Access Control for students, faculty, and admins.
• Audit Logs: Immutable records of administrative actions.
• Honeypot Protection: Advanced security against bot interactions.

🛠️ Technology Stack

Frontend

• Framework: React (Vite)
• Styling: TailwindCSS, "Ultra" Glassmorphism UI
• Animation: Framer Motion
• Data Viz: Recharts

Backend

• Runtime: Node.js
• Framework: Express.js
• Database: MongoDB Atlas
• Real-time: Socket.io

📦 Installation

1. Clone the repository

   git clone https://github.com/cheran-hacker/Student_Difficulty_Course_Analyzer.git
   cd Student_Difficulty_Course_Analyzer

2. Install Dependencies

   # Server
   cd server
   npm install
   
   # Client
   cd ../client
   npm install

3. Environment Setup Create a .env file in the server directory with your credentials (see DEPLOYMENT.md for details).

4. Run the Application

   # Run both client and server concurrently (if configured) or separate terminals:
   
   # Terminal 1 (Server)
   cd server
   npm start
   
   # Terminal 2 (Client)
   cd client
   npm run dev

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.