🎓 Personalized Learning Path Recommender

An AI-powered educational tool that generates personalized learning paths based on student profiles, career goals, and curriculum requirements.

📋 Challenge Overview

Students struggle to identify effective learning paths tailored to their current knowledge and goals. This tool solves that by:

• Analyzing student skill profiles and learning objectives
• Mapping skills to curriculum topics with prerequisite tracking
• Generating personalized learning paths using AI and logic-based algorithms
• Visualizing the learning journey with an interactive UI

✨ Key Features

• Dual Recommendation Modes: AI-powered (Groq's Llama-3.3-70B) and Logic-based path generation
• Flexible Profiling: 3 sample profiles or create custom profiles
• 3 Learning Tracks: Python Programming, Data Science, Web Development (20+ topics)
• Visual Learning Path: Color-coded difficulty levels with prerequisite mapping
• Export Options: Download learning paths as JSON

🚀 Quick Start

Installation

# Clone the repository
git clone https://github.com/hardikjp7/AI-Hackathon.git
cd AI-Hackathon

# Install dependencies
pip install -r requirements.txt

# Run the application
streamlit run app.py

Requirements

streamlit
groq
pandas

Setup

1. Get a free API key from Groq Console
2. Enter the API key in the sidebar when running the app
3. Select or create a student profile
4. Choose a learning track and enter your goals
5. Get AI recommendations or generate a logic-based path

💻 Usage

AI-Powered Mode:

1. Select learning track (Python/Data Science/Web Development)
2. Describe your learning goals
3. Click "🤖 Get AI Recommendation"

Logic-Based Mode:

1. Select learning track
2. Click "🔧 Generate Logic-Based Path"
3. View optimized curriculum sequence

📚 Available Learning Tracks

Track	Topics	Total Duration
Python Programming	7 topics	23 weeks
Data Science	6 topics	23 weeks
Web Development	7 topics	24 weeks

Each topic includes:

• Prerequisites mapping
• Difficulty level (Beginner/Intermediate/Advanced)
• Estimated duration
• Topic dependencies

🔧 How It Works

AI Mode: Uses Groq's Llama-3.3-70B to provide conversational, personalized recommendations based on student profile and curriculum.

Logic Mode: Applies topological sorting to resolve prerequisites and create an optimized learning sequence based on skill level.

🤝 Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

Made with ❤️ for learners worldwide