Emergency Response AI Assistant

An AI-powered emergency response system that provides first aid instructions based on audio descriptions and scene images.

Features

• Audio Transcription: Record emergency descriptions that are transcribed using Whisper
• Image Analysis: Capture and analyze emergency scenes using YOLO object detection
• First Aid Instructions: Receive AI-generated first aid steps based on the emergency data
• Location Tracking: Automatically capture GPS coordinates for emergency services

Tech Stack

Frontend

• React with Vite
• Tailwind CSS
• JavaScript
• Web APIs (MediaRecorder, Geolocation, etc.)

Backend

• FastAPI
• Python
• AI Models:
  • Whisper (Audio transcription)
  • YOLO (Image analysis)
  • OpenAI GPT-4 (First aid response generation)

Setup and Installation

Backend Setup

1. Navigate to the backend directory:

   cd emergency/backend
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Set up environment variables:

   • Create a .env file in the backend directory
   • Add your OpenAI API key: OPENAI_API_KEY=your_api_key_here

5. Run the FastAPI server:

   uvicorn main:app --reload
   

Frontend Setup

1. Navigate to the frontend directory:

   cd emergency/frontend
   

2. Install dependencies:

   npm install
   

3. Run the development server:

   npm start
   

Usage

1. Open http://localhost:3000 in your browser
2. Record an audio description of the emergency
3. Take a photo of the emergency scene
4. Review the AI-generated first aid instructions

Important Note

This application is for demonstration purposes only. In a real emergency, always call your local emergency services.

Hackathon Project

This project was created as part of [Hackathon Name] to demonstrate the potential of AI technologies in emergency response scenarios.