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| title: MedBot | |
| emoji: 💻 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.49.1 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: AMRUTHA N LLM LLT PROJECT | |
| # 🏥 MedBot - Medical Q&A Assistant | |
| ## Academic Project - SRM Institute of Science and Technology | |
| A comprehensive medical question-answering assistant built using fine-tuned language models, retrieval-augmented generation (RAG), and tool integration. | |
| ### 🔬 Project Features | |
| - **Medical Q&A** with evidence-based responses | |
| - **BMI Calculator** with health recommendations | |
| - **Drug Information Database** with side effects | |
| - **RAG System** with medical source citations | |
| - **Fine-Tuned Language Model** for medical domain | |
| ### 🎯 Example Queries | |
| - "What are the symptoms of diabetes?" | |
| - "Calculate BMI for 70kg and 175cm height" | |
| - "Tell me about ibuprofen uses and side effects" | |
| - "COVID-19 prevention methods" | |
| - "Asthma treatment options" | |
| ### 📚 Technical Implementation | |
| 1. **Dataset**: MedQuAD (47K medical QA pairs) | |
| 2. **Model**: Qwen2.5-1.5B with LoRA fine-tuning | |
| 3. **RAG**: Chroma vector database with medical documents | |
| 4. **Tools**: BMI calculator, drug database, symptom checker | |
| 5. **Deployment**: Gradio interface with Hugging Face Spaces | |
| ### ⚠️ Important Disclaimer | |
| This system is for **educational and informational purposes only**. It is **not a substitute for professional medical advice, diagnosis, or treatment**. Always consult qualified healthcare providers for medical concerns. | |
| **Course**: 21CSE658T Large Language Models | |
| **Program**: M. Tech | |
| **Institute**: SRM Institute of Science and Technology |