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An AI-powered study platform that uses Retrieval-Augmented Generation (RAG) to answer questions from uploaded study material and provide personalized learning experiences.

Features

• 📄 PDF Upload & Processing
• 🔍 Semantic Search using Vector Embeddings
• 🤖 Context-Aware Question Answering
• 📝 AI-Generated Quizzes
• 📊 Student Mastery Tracking
• 🎯 Adaptive Learning Based on Weak Areas
• 🔐 User Authentication

Tech Stack

Backend

• FastAPI
• SQLite
• SQLAlchemy
• ChromaDB
• Gemini API

Frontend

• Next.js
• TypeScript
• Tailwind CSS

Architecture

PDF Upload ↓ Chunking ↓ Embeddings ↓ ChromaDB ↓ Retrieval ↓ Gemini ↓ Answer Generation

Project Structure

backend/

cd backend

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt

uvicorn app:app --reload


frontend/

cd frontend

npm install

npm run dev

Author

Ashwin, AI&DS Student From CBIT Hyderabad