#EduBrain - AI-Powered Study Companion

📚 Overview

EduBrain is an AI-powered Retrieval-Augmented Generation (RAG) application designed to enhance study experiences by converting PDFs and notes into vectorized knowledge and providing instant answers using Groq-hosted LLMs. It also supports multi-document processing and text summarization to make studying interactive and efficient.

🚀 Features

• ✅ Multi-Document Support – Upload multiple PDFs and notes.
• ✅ AI-Powered Q&A – Ask any question and get context-aware answers.
• ✅ Smart Summarization – Generate concise summaries of documents.
• ✅ Groq LLM – Provides intelligent, detailed responses with low latency.
• ✅ Efficient Search – Uses FAISS for fast and accurate vector retrieval.
• ✅ User-Friendly Interface – Built with Streamlit for an interactive experience.

🛠️ Tech Stack

• LLM: Groq (Llama) 🤖
• Embeddings & Vector Store: FAISS + Sentence Transformers 📊
• Backend: Python 🐍
• Frontend: Streamlit ⚡
• Text Processing: LangChain + PyPDF2 📝
• Environment Management: dotenv 🔐

🎯 How It Works

1. Upload Your Notes (PDFs) 📂
2. EduBrain Converts Them into Vectors 🧩
3. Ask Any Study-Related Question ❓
4. Get AI-Generated Answers from Groq 💡
5. Receive Summarized Notes for Quick Revision ✨

🔧 Installation & Setup

1️⃣ Clone the Repository

 git clone https://github.com/YOUR_GITHUB_USERNAME/EduBrain.git
 cd EduBrain

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Set Up Environment Variables

Create a .env file in the root directory and add your Groq API Key:

GROQ_API_KEY=your_api_key_here

4️⃣ Run the Application

streamlit run app.py

📌 Usage

1. Upload your study material (PDF files).
2. Click 'Submit & Process' to generate vector embeddings.
3. Ask questions about the uploaded content.
4. Get AI-generated answers and summaries instantly!

🚀 Demo & GitHub Repository

🔗 Live Demo: [https://handypdf.streamlit.app/]
💻 GitHub Repo: [https://github.com/inder-dev-pro/EduBrain]

🛠️ Future Enhancements

• Real-time text & voice-based Q&A interaction 🎤
• Enhanced summarization & key takeaways 📋
• Mobile-friendly version 📱
• More LLM model integrations 🔥

📢 Contributing

Want to contribute? Follow these steps:

1. Fork the repository 🍴
2. Create a new branch (git checkout -b feature-name) 🌿
3. Commit your changes (git commit -m 'Add some feature') 💾
4. Push to the branch (git push origin feature-name) 🚀
5. Open a Pull Request 🎉

📞 Contact

If you have any questions or suggestions, feel free to reach out: 📧theindersharma@gmail.com
🔗 LinkedIn: Inder Sharma

🎯 Let's revolutionize education with AI! 🚀

Make education more engaging and a fun process