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README.md

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-license: mit
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+# 🤖 Enhanced AI Tutor System using LLaMA-3 and LangGraph
+
+[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)
+[![Made with LangGraph](https://img.shields.io/badge/Built%20with-LangGraph-purple)](https://python.langgraph.dev/)
+[![Model: Meta LLaMA 3.2](https://img.shields.io/badge/Model-Meta%20LLaMA%203.2%203B-blue)](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
+
+An **adaptive, feedback-based AI tutor system** built using:
+
+- 🧠 Meta's [LLaMA-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
+- 🔄 [LangGraph](https://github.com/langchain-ai/langgraph) for multi-agent workflow
+- ⚡ Hugging Face Transformers (4-bit quantization for efficiency)
+- ✅ PyTorch, BitsandBytes, Accelerate for seamless GPU usage
+
+---
+
+## 🎓 What It Does
+
+This notebook walks you through a **complete interactive tutor session** that:
+
+1. 📚 Asks a question from a topic you choose
+2. 📝 Evaluates your answer and gives structured feedback
+3. 🧪 Generates a new practice question
+4. 📈 Tracks your progress and adapts difficulty
+
+It's like having your own AI teacher, personalized to your learning!
+
+---
+
+## 🚀 Quickstart
+
+### 🔧 Requirements
+
+Install required packages first:
+
+```bash
+pip install langgraph transformers accelerate bitsandbytes --quiet
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 --quiet
+pip install huggingface_hub --quiet
+```
+---
+
+### 🔑 Login to Hugging Face
+
+```python
+from huggingface_hub import notebook_login
+notebook_login()
+```
+
+### 🏃‍♂️ Run the Notebook
+
+1. Launch the `.ipynb` in a Google Colab GPU runtime
+2. Follow the prompts
+3. Learn, improve, repeat 🔁
+
+---
+
+## 📁 Project Structure
+
+```
+├── EnhancedTutorSystem.ipynb   
+├── README.md                   
+├── requirements.txt            
+```
+
+---
+
+## 🧠 Model Info
+
+This project uses (but does not rehost) Meta's official instruction-tuned model:
+
+[![Model: Meta LLaMA 3.2](https://img.shields.io/badge/Model-Meta%20LLaMA%203.2%203B-blue)](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
+
+The model is loaded via transformers using 4-bit quantization (BitsAndBytes)
+
+**Note:** You must agree to Meta's license to access the model.
+
+---
+
+## 🎯 Features
+
+- ✍️ Adaptive questions across difficulty levels
+- 📊 Real-time performance tracking
+- 🤓 Intelligent feedback on every answer
+- 💡 LangGraph-powered multi-agent workflow
+- 🧵 Fully reproducible session history
+
+---
+
+## 🔜 Coming Soon
+
+- 🌐 A Hugging Face Space with a user-friendly UI
+- 📝 Student progress export to PDF
+- 🎯 Topic-based quiz sessions
+- 🧪 Integration with LangChain for evaluation metrics
+
+---
+
+## 📄 License
+
+This project is released under the MIT License.
+
+---
+
+## 🙌 Acknowledgments
+
+- 🧠 Meta AI for LLaMA-3
+- 🔄 LangGraph by LangChain
+- 🤗 Hugging Face for open infrastructure
+
+---
+
+## 📬 Contact / Feedback
+
+[![GitHub](https://img.shields.io/badge/GitHub-Mrigank005-181717?logo=github)](https://github.com/Mrigank005)
+[![LinkedIn](https://img.shields.io/badge/LinkedIn-Mrigank005-0077B5?logo=linkedin)](https://www.linkedin.com/in/mrigank005)
+
+Feel free to raise issues or suggestions on GitHub  
+Or connect via Hugging Face community tab!
+
+**Happy learning!** 💡
+
+---