AI Learning Assistant

An AI-powered learning platform that helps students learn from their study materials by generating summaries, flashcards, quizzes, and document-based answers using Retrieval-Augmented Generation (RAG).

Live Demo

Frontend: https://ai-learning-assistant-kohl-iota.vercel.app

Features

Authentication

• Secure user registration and login
• JWT-based authentication
• Protected routes

Document Management

• Upload PDF documents
• Automatic text extraction
• Intelligent document chunking
• Document history and management

AI-Powered Learning

• Generate concise document summaries
• Create educational flashcards automatically
• Generate multiple-choice quizzes
• Explain concepts from uploaded documents
• Ask questions and chat with documents

Retrieval-Augmented Generation (RAG)

• Document chunking pipeline
• Vector embeddings for semantic search
• Context-aware document retrieval
• AI responses grounded in uploaded content

Progress Tracking

• Track generated learning resources
• Monitor study activity
• Manage learning sessions efficiently

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Tech Stack

Frontend

• React.js
• React Router
• Axios
• Tailwind CSS
• React Hot Toast

Backend

• Node.js
• Express.js
• MongoDB
• Mongoose
• JWT Authentication

AI & RAG

• Groq API (LLM Generation)
• Google Gemini Embeddings
• Vector Similarity Search
• Retrieval-Augmented Generation (RAG)

Deployment

• Vercel (Frontend)
• Render (Backend)
• MongoDB Atlas

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System Architecture

User Uploads Document ↓ PDF Text Extraction ↓ Text Chunking ↓ Generate Embeddings ↓ Store Chunks + Vectors ↓ Semantic Retrieval ↓ Relevant Context Selection ↓ Groq LLM ↓ Summary / Flashcards / Quiz / Chat Response

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Installation

Clone Repository

git clone https://github.com/haniigupta/ai-learning-assistant.git
cd ai-learning-assistant

Backend Setup

cd backend
npm install

Create a .env file:

PORT=8000

MONGODB_URI=your_mongodb_connection_string

JWT_SECRET=your_jwt_secret

GROQ_API_KEY=your_groq_api_key

GEMINI_API_KEY=your_gemini_api_key

Start Backend:

npm run dev

Frontend Setup

cd frontend
npm install

Create a .env file:

VITE_API_URL=http://localhost:8000/api

Start Frontend:

npm run dev

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Key Features Implemented

AI Summary Generation

Generate concise summaries from uploaded study materials.

Flashcard Generation

Automatically create question-answer flashcards for revision.

Quiz Generation

Generate multiple-choice quizzes from document content.

Document Q&A

Ask questions about uploaded documents and receive context-aware answers.

Concept Explanation

Get simplified explanations of concepts extracted from study materials.

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Future Improvements

• Multi-document search
• Cloud storage integration (AWS S3 / Cloudinary)
• Study analytics dashboard
• Spaced repetition flashcards
• OCR support for scanned PDFs
• Voice-based learning assistant

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Author

Hani Gupta

GitHub: https://github.com/haniigupta

LinkedIn: https://www.linkedin.com/in/hani-gupta-3916b931b/

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License

This project is licensed under the MIT License.