🎓 StudyAI Pro

AI-powered Multi-Agent Learning Assistant that transforms PDFs into personalized learning experiences using Retrieval-Augmented Generation (RAG), Memory, Analytics, and Gemini AI.

Built for the Microsoft Agents League Hackathon 2026.

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🔗 Important Links

👉 View GitHub Repository
🎥 Watch Demo Video

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🎥 Demo Video

👉 Watch Demo

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🚀 Features

🤖 Multi-Agent Architecture

StudyAI Pro uses specialized AI agents:

• Planner Agent
• Retrieval Agent
• Tutor Agent
• Verifier Agent
• Quiz Agent
• Flashcard Agent
• Notes Agent
• Roadmap Agent
• Assessment Agent

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📚 AI Tutor

• Chat with uploaded study materials
• Context-aware responses
• Retrieval-Augmented Generation (RAG)
• Reduced hallucinations through document grounding

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📝 Revision Notes

Generate structured notes automatically from uploaded PDFs.

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🎴 Flashcards

Create active-recall flashcards for faster revision and improved retention.

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❓ Quiz Generator

Generate quizzes instantly from study materials.

• Multiple Choice Questions
• Concept Checks
• Revision Practice

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📊 Assessment Generator

Evaluate understanding through AI-generated assessments.

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🗺 Learning Roadmaps

Generate personalized study plans and learning paths.

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🧠 Learning Memory

• Session tracking
• Learning history
• Personalized recommendations

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📈 Analytics Dashboard

Visualize:

• Study activity
• Learning progress
• Assessment performance
• Session insights

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🏗 Architecture

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🛠 Tech Stack

Category	Technology
Backend	Flask, Python
AI Model	Google Gemini
Vector Search	FAISS
Embeddings	Sentence Transformers
Database	SQLite
Frontend	HTML, CSS, JavaScript
Analytics	Chart.js
Testing	Pytest

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⚡ Installation

Clone Repository

git clone https://github.com/sathidevivaraprasadreddy/studyai-pro.git
cd studyai-pro

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Create Virtual Environment

python -m venv venv

Windows

venv\Scripts\activate

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Install Dependencies

pip install -r requirements.txt

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Configure Environment Variables

Create a .env file:

GEMINI_API_KEY=your_api_key
SECRET_KEY=studyai-secret

you can refer .env.example

Run Application

python app.py

Open:

http://127.0.0.1:5000

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📂 Project Structure

studyai-pro/
│
├── agents/
│   ├── planner_agent.py
│   ├── retrieval_agent.py
│   ├── tutor_agent.py
│   ├── verifier_agent.py
│   ├── quiz_agent.py
│   ├── flashcard_agent.py
│   ├── notes_agent.py
│   ├── roadmap_agent.py
│   └── assessment_agent.py
│
├── memory/
├── orchestrator/
├── database/
├── vector_db/
├── templates/
├── static/
├── tests/
│
├── app.py
├── config.py
├── requirements.txt
└── README.md

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📸 Screenshots

Home

Upload

Chat

Quiz Generator

Flashcards

Notes

Assessment

Roadmap

Analytics Dashboard

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🏆 Competition Submission

Event

Microsoft Agents League 2026

Category

Multi-Agent AI Systems

Focus

AI-Powered Personalized Learning

Highlights

• Multi-Agent Architecture
• Retrieval-Augmented Generation
• Personalized Learning Memory
• Analytics Dashboard
• Responsible AI Design

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📚 Documentation

Located in /docs

• Architecture Document
• Responsible AI Statement
• Impact Statement
• Judging Criteria Alignment
• Demo Script

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🔒 Responsible AI

StudyAI Pro follows responsible AI principles:

• Transparency
• Privacy Protection
• Human Oversight
• Fairness
• Secure File Handling

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🌟 Future Enhancements

• Voice Tutor
• OCR Support
• Learning Gap Detection
• Mobile Application
• Multi-Language Learning
• Knowledge Graph Visualization

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🧪 Testing

Run all tests:

python -m pytest -v

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📄 License

MIT License

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👨‍💻 Developer

S. DEVI VARA PRASAD REDDY

Building AI-powered educational systems that make learning smarter, faster, and more personalized.

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⭐ Support

If you found this project useful, consider giving it a star ⭐ on GitHub.