A modern React + TypeScript frontend for interacting with the MedAI backend, providing a clean and responsive UI for AI-powered medical assistance.
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🌐 Live Application: 👉 https://rag-medai.vercel.app/
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🧠 Backend API (Live): 👉 https://medai-backend-production-a830.up.railway.app
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🏥 Backend Repository: 👉 https://github.com/hariom888/MedAI-backend
The MedAI Frontend is a user-friendly interface designed to interact with the AI-powered healthcare backend. It allows users to ask medical queries and receive intelligent, context-aware responses in real time.
Built with modern web technologies, the frontend focuses on performance, usability, and seamless API integration.
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💬 AI Chat Interface Interactive chat-based UI for medical queries
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⚡ Real-time Responses Fast communication with backend APIs
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🎯 Clean & Minimal UI Focused on readability and user experience
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📱 Responsive Design Works across desktop and mobile devices
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🔗 API Integration Fully connected with FastAPI backend
- React
- TypeScript
- Tailwind CSS (if used)
- REST API (FastAPI backend)
MedAI-Frontend/
│── src/
│ ├── components/ # UI components
│ ├── pages/ # Main pages
│ ├── services/ # API calls
│ ├── hooks/ # Custom hooks
│ └── utils/ # Helper functions
│
│── public/
│── package.json
│── tsconfig.json
- Node.js (v16+ recommended)
- npm / yarn
git clone https://github.com/Anmol-pi/MedAI-Frontend
cd MedAI-Frontend
npm installCreate a .env file:
VITE_API_BASE_URL=https://medai-backend-production-a830.up.railway.appnpm run dev- User enters a medical query
- Frontend sends request to backend API
- Backend processes using RAG pipeline
- AI response is returned and displayed in chat UI
- AI Medical Chat Interface
- Healthcare Assistance UI
- Educational AI Tool Interface
This application is for educational purposes only and should not be used as a substitute for professional medical advice.
- Anmol Kumar Jindal
- HariOm
Contributions are welcome!
fork → clone → create branch → commit → push → PRThis project is licensed under the MIT License
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