🧭 Overview

A conversational AI system designed to assist users with medical symptom triage, health information, and appointment scheduling. Built using a fine-tuned Mistral 7B language model with LoRA adapters and deployed via a Flask web server.

Key Features

• 🧠 Chatbot with Symptom Triage: Responds to user symptoms using a medical-tuned LLM.

• 🌐 Health Info Fetching: Dynamically pulls condition summaries from Wikipedia if not predefined.

• 📅 Appointment Scheduling: Basic scheduling interface for name, date, and reason via REST API.

• 🧪 Fine-Tuned Mistral LLM: Uses PEFT + LoRA for efficient fine-tuning on medical dialogue.

• 💻 Runs on Apple M1/M2 (MPS): Optimized for local use with Hugging Face + Transformers.

🧰 Tech Stack

• Python

• Flask (Backend + Web UI)

• Hugging Face Transformers

• PEFT (LoRA)

• Mistral 7B (Base Model)

• Wikipedia REST API

📅 Roadmap

• ✅ Q2 2025: Core contracts + frontend release

• 🚧 Q3 2025: Multi-chain support (Base, Arbitrum)

• 🛠 Q4 2025: ZK voting module, Discord governance bot

• 🧬 2026: DAO Registry, Grant automation, Reputation scoring

🚀 Getting Started

//1. Clone this repository
git clone https://github.com/your-username/medical-ai-chatbot.git
cd medical-ai-chatbot
//2. Install dependencies
pip install -r requirements.txt
//3. Run the Flask App
python Agent.py

//Then open http://127.0.0.1:5000 in your browser.