YGIHANA1/HEALTHCARE_AI_ASSISTANT

Healthcare AI Assistant An intelligent, real-time, AI-powered assistant designed to support medical triage, diagnosis, health education, and patient referrals — built to strengthen healthcare systems in Africa and beyond. # 🧠 Healthcare AI Assistant A powerful AI-powered tool built with React and Flask, designed to help clinics, communities, and individuals assess symptoms and receive medical guidance instantly using LLMs. > _“We see the world not just as it is, but as it could be.”_ --- ## 🔧 Technology Stack | Part | Tech Used | |-----------|--------------------------------------| | Frontend | React + Tailwind + Axios | | Backend | Flask (Python) + Together.ai API | | AI Model | Mixtral-8x7B via Together.ai | | LLM Role | Triage, Diagnosis, Education, Referral agents | --- ## 🚀 How to Run the Project Locally ### 1️⃣ Clone the repository ```bash git clone github.com cd HEALTHCARE_AI_ASSISTANT 2️⃣ Backend Setup (Python + Flask) 🔁 Go to the backend directory: cd server 🐍 Create a virtual environment (optional but recommended) python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate 📦 Install dependencies pip install -r requirements.txt 🔑 Create a .env file TOGETHER_API_KEY=your_api_key_here ✅ Make sure your API key from Together.ai is working. ▶️ Start the backend server python healthcare_server.py Your server should run at: 127.0.0.1 3️⃣ Frontend Setup (React) 🔁 Go to the frontend directory: cd .. 📦 Install Node packages npm install ▶️ Run the development server npm run dev