Educational AI Web Application

An AI-powered educational platform that provides personalized learning experiences through various interactive features including summaries, quizzes, mind maps, recommendations, and audio overviews.

Screenshots

Project Structure

/
├── backend/          # FastAPI backend with AI agent workflow
├── frontend/         # Next.js frontend application
└── training/         # Jupyter notebooks used for development and training the agentic workflow

Features

• AI-Powered Content Processing: Intelligent content analysis and processing using LangGraph workflows
• Interactive Quizzes: Generate quizzes based on educational content
• Mind Maps: Create visual mind maps for better understanding
• Audio Summaries: Generate audio overviews of educational content (Text to Speech)
• Personalized Recommendations: AI-driven content recommendations

Tech Stack

Backend

• FastAPI - Modern Python web framework
• LangGraph - Agent workflow orchestration
• LangChain - LLM framework
• Supabase - Database and storage
• Boto3 - AWS services integration
• AWS Polly - Text to Speech Conversion

Frontend

• Next.js 15 - React framework
• TypeScript - Type-safe JavaScript
• Tailwind CSS - Utility-first CSS framework
• Clerk - Authentication and user management
• Supabase - Database and storage

Development

• Python 3.12+ - Backend runtime
• Node.js - Frontend runtime
• UV - Python package manager
• Jupyter Notebooks - Development and experimentation

Getting Started

Prerequisites

• Python 3.12+
• Node.js 18+
• UV package manager

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Install dependencies:

   uv sync

3. Set up environment variables (create .env file with required keys)

4. Start the backend server:

   uv run src/main.py

The backend API will be available at http://localhost:7007

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the development server:

   npm run dev

The frontend will be available at http://localhost:3000

AI Agent Workflow

The backend implements a sophisticated AI agent workflow using LangGraph that includes:

• Summary Generation - Creates comprehensive summaries of educational content, supports multimodal input (Text and PDF)
• Quiz Generation - Generates interactive quizzes based on content
• Mind Map Creation - Produces visual mind maps for better comprehension
• Recommendation Engine - Provides personalized learning recommendations
• Audio Overview - Creates audio summaries and overviews

Development

Training Environment

The training/ directory contains Jupyter notebooks for:

• Multi-modal AI experiments
• Output parsing development
• Parallel LLM graph processing
• Podcast generation
• Quiz generation training
• Recommendation system development
• Speech synthesis experiments
• Summary generation training
• Supabase integration testing

API Endpoints

• GET / - Health check
• POST /api/workflows/* - AI workflow endpoints

License

This project is licensed under the MIT License.