Rural Healthcare Multilingual AI Assistant

Aarogya AI – Team Ignite 🏥🔥

A smart, multilingual healthcare support system for rural communities. Developed during AGTechathon, this project combines a React-based frontend with a Python-based client-server module to provide emergency medical communication, local language support, and awareness about government schemes.

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🌟 Problem Statement

Rural populations in India face several challenges in accessing healthcare:

• Lack of reliable internet or mobile networks
• Language barriers for non-English/Hindi speakers
• Difficulty in locating or contacting emergency services
• Unawareness of existing government health schemes

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✅ Our Solution

Aarogya AI is designed to:

• Support local languages via multilingual translation
• Work with minimal network using lightweight communication
• Provide emergency call functionality
• Display essential doctor and hospital info
• Educate users about government health schemes

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A voice-based AI healthcare assistant designed for rural communities in India, supporting multiple local languages for better healthcare accessibility.

Features

• Voice-based interaction
• Support for multiple Indian languages:
  • Hindi
  • Marathi
  • Kannada
  • Tamil
  • Telugu
  • Gujarati
  • Bengali
  • Punjabi
  • Malayalam
• Emergency response system
• Health condition assessment
• First aid guidance
• Medical emergency protocols

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🚀 Features

• ✅ Multilingual support (English, Hindi, Marathi)
• 📞 Emergency call system (ambulance/hospital)
• 👨‍⚕️ Doctor information cards with icons
• 🧠 Smart Python server-client messaging system
• 📢 Health scheme awareness for rural users
• 🎯 User-friendly interface for low-literacy users

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💻 Frontend Setup (React + Vite)

Prerequisites:

• Node.js v16+
• npm

Steps:

# Clone the repo
git clone https://github.com/AGTechathon/Team-Ignite.git
cd Team-Ignite

# Go to frontend (src folder is inside root)
npm install
npm run dev


## Setup

1. Clone the repository:
```bash
git clone <repository-url>
cd Team-Ignite

2. Install dependencies:

pip install -r python/requirements.txt

3. Create a .env file in the python directory with your API keys:

GEMINI_API_KEY=your_gemini_api_key_here

4. Run the server:

cd python
python server.py

5. In a new terminal, run the client:

cd python
python main.py

Usage

1. Start the application
2. Speak your health concern in any supported Indian language
3. The AI will:
   • Detect your language
   • Assess if it's an emergency
   • Provide immediate actions
   • Give first aid instructions
   • List warning signs
   • Recommend when to seek medical help

Project Structure

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🚀 Features

• ✅ Multilingual support (English, Hindi, Marathi)
• 📞 Emergency call system (ambulance/hospital)
• 👨‍⚕️ Doctor information cards with icons
• 🧠 Smart Python server-client messaging system
• 📢 Health scheme awareness for rural users
• 🎯 User-friendly interface for low-literacy users

---

💻 Frontend Setup (React + Vite)

Prerequisites:

• Node.js v16+
• npm

Steps:

# Clone the repo
git clone https://github.com/AGTechathon/Team-Ignite.git
cd Team-Ignite

# Go to frontend (src folder is inside root)
npm install
npm run dev


yaml
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## 🚀 Features

- ✅ Multilingual support (English, Hindi, Marathi)
- 📞 Emergency call system (ambulance/hospital)
- 👨‍⚕️ Doctor information cards with icons
- 🧠 Smart Python server-client messaging system
- 📢 Health scheme awareness for rural users
- 🎯 User-friendly interface for low-literacy users

---

## 💻 Frontend Setup (React + Vite)

### Prerequisites:
- Node.js v16+
- npm

### Steps:

```bash
# Clone the repo
git clone https://github.com/AGTechathon/Team-Ignite.git
cd Team-Ignite

# Go to frontend (src folder is inside root)
npm install
npm run dev
🐍 Python Backend (Client-Server Module)
Prerequisites:
Python 3.x

pip

Setup Instructions:
bash
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cd python
pip install -r requirements.txt
Run Server:
bash
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Edit
python server.py
Run Client (Separate terminal):
bash
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Edit
python main.py
🌐 Languages Supported
🇬🇧 English (en.js)

🇮🇳 Hindi (hi.js)

🇮🇳 Marathi (mr.js)

To add more languages, edit the src/translations/ directory and LanguageContext.jsx.

📸 Screenshots (Add if available)
Feature	Screenshot
Home Page	
Emergency Call UI	
Doctor Info	

👥 Team Members – Team Ignite
Sachin Fulari
Anil Bhoi
Samarth Patil
Mujaffar Mujawar

📜 License
This project is open-sourced under the MIT License.

🙏 Acknowledgments
AGTechathon Organizers

Local health mentors and rural healthcare volunteers

OpenAI / Google Translate APIs (if used for translation)



## Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

## License

This project is licensed under the MIT License - see the LICENSE file for details.