MedSarovar: Your One-Stop Shop for Affordable Healthcare (README.md)

MedSarovar is a Telegram Bot that empowers users in India to navigate the healthcare landscape with ease. Our AI-powered platform tackles common pain points by helping users:

• Find Budget-Friendly Specialists: Get matched with doctors who fit your budget and address your specific needs.
• Skip the Wait: Effortlessly book and manage appointments, saving you valuable time.
• Get the Right Care: Securely share medical records with doctors for a seamless flow of information and a more accurate diagnosis.

MedSarovar simplifies your healthcare journey:

• AI-powered Doctor Matching: Our AI engine matches you with the best-suited doctor based on your budget and symptoms. 🩺₹
• Effortless Appointment Booking: Manage appointments directly through the app, saving you time and hassle. ⏱️
• Secure Medical Record Sharing: Share medical records securely with your doctor, ensuring continuity of care.

Tech Stack:

Frontend:

• HTML, CSS: Building the user interface of the Telegram bot.

Backend:

• Javascript, Node.js: Core development language and runtime environment for the bot's logic.
• Solidity: Programming language for smart contracts deployed on the Avalanche blockchain.
• Avalanche: Blockchain platform for secure and decentralized data management.
• MongoDB: Database for storing user information and doctor data.

APIs and Integrations:

• OpenAI API:Used for preliminary diagnosis based on user symptoms.
• Firebase SDK: Integration with Firebase for functionalities like user authentication or real-time messaging.
• Firebase Genkit: (Optional) Tool for managing Firebase project configuration .
• Gemma: (Unidentified library - clarify its purpose if used).
• GCP (Google Cloud Platform): Cloud infrastructure potentially used for hosting the bot or specific services .
• CallChimp SDK: Integration with CallChimp for appointment confirmation emails .

Features

• Collects user information (name, age, phone number, maximum budget).
• Analyzes user symptoms using OpenAI's GPT-3.5-turbo model.
• Recommends doctors based on the diagnosis and user's budget.
• Allows users to book appointments with recommended doctors.
• Communicates with an external API to handle appointment bookings.

Prerequisites

• Node.js and npm installed
• MongoDB for storing user data and doctor information
• A Telegram bot token from BotFather
• OpenAI API key

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/telegram-medical-assistant-bot.git
   cd telegram-medical-assistant-bot

2. Install the dependencies:

   npm install

3. Create a .env file in the root directory and add your credentials:

   TELEGRAM_BOT_TOKEN=your-telegram-bot-token
   OPENAI_API_KEY=your-openai-api-key
   MONGODB_URI=your-mongodb-uri

4. Start the bot:

   node index.js

Usage

1. Start the bot by sending /start in your Telegram chat.
2. Follow the prompts to provide your name, age, phone number, and maximum budget.
3. Describe the symptoms you are experiencing.
4. The bot will provide a possible diagnosis and recommend doctors.
5. Select a doctor to book an appointment.

API Integration

The bot communicates with an external API to handle appointment bookings. Ensure your API endpoint is correctly configured in the code:

const response = await axios.post('https://hack4bengal-427819.el.r.appspot.com/call', {
  doctorId: selectedDoctor._id,
  chatId: chatId
});

Demo

Watch the https://youtu.be/e7Lbv203Zbw to see the bot in action.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.

License

This project is licensed under the MIT License.