🩺 AarogyaVaani – AI Healthcare Assistant

A voice-first AI-powered healthcare assistant for symptom checking, secure login, and medical interaction with history tracking.

---

🚀 Tech Stack

• Frontend: React + Vite
• Backend: Node.js (TypeScript)
• Authentication: Twilio OTP (SMS-based login) + JWT
• AI Integration: Gemini API
• Storage: CSV / Local storage (for user history)
• Config: Firebase Applet + Metadata JSON

---

📁 Project Structure

aarogyavaani/
│── src/                      # Frontend
│── index.html               # Entry file
│── server.ts                # Backend (API + OTP + AI logic)
│── metadata.json            # App config
│── firebase-applet-config.json
│── package.json
│── vite.config.ts
│── .env                     # Secrets (API keys)

---

⚙️ Run Locally

1️⃣ Install dependencies

npm install

---

2️⃣ Setup environment variables

Create a .env file:

GEMINI_API_KEY=your_gemini_api_key

TWILIO_ACCOUNT_SID=your_twilio_sid
TWILIO_AUTH_TOKEN=your_twilio_token
TWILIO_PHONE_NUMBER=your_twilio_number

JWT_SECRET=your_jwt_secret_key

---

3️⃣ Start the app

npm run dev

---

🔐 Features

• 🔑 OTP-based Login (Twilio + JWT)

  • Secure phone number authentication
  • JWT-based session management

• 🧠 AI Symptom Checker

  • Powered by Gemini API
  • Provides basic medical insights

• 📜 User History Storage

  • Stores past interactions & symptoms
  • Helps track user health patterns

• 🎙️ Voice-first Interaction

  • Uses microphone for input
  • Improves accessibility

• 📍 Location Access

  • Enables location-based suggestions

---

🔧 Backend Capabilities

• Handles:

  • OTP generation & verification (Twilio)
  • JWT token generation & validation
  • AI API requests (Gemini)
  • User session handling
  • History storage

• Can be extended with:

  • Cloud deployment

📸 Screenshots

🏠 Home Page

🔐 OTP Authentication

🧠 User Dashboard

📜AI Symptom Analysis & Hospital Recommendations / History

👨‍💻 Author

Venkat Laxmi Gottam

⭐ If you like this project, don’t forget to star the repo!