🚑 ERS-2: AI-Powered Smart Ambulance Dispatcher

TechNeurons Hackathon Project – Emergency Response System

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📌 Overview

ERS-2 is an intelligent, AI-powered ambulance dispatch system designed to optimize emergency response using:

• Voice-based emergency detection
• Real-time ambulance tracking
• AI-based hospital and ambulance dispatch logic
• Predictive emergency hotspot mapping

The project is built using the MERN stack for the core system and Python for AI components.

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🧠 Features

• 🎙️ Voice AI Emergency Detection – Converts emergency voice calls to text and classifies urgency using NLP.
• 🗺️ Real-Time Ambulance Tracking – Live ambulance locations with traffic-aware routing.
• 🏥 AI-Powered Dispatch – Matches emergency with the best ambulance and hospital based on traffic, location, and specialties.
• 🔥 Hotspot Prediction – Predicts future emergency-prone areas using past data and displays as a heatmap.
• ⚡ Socket.IO Integration – Real-time alert system for instant updates to dashboard.

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🧰 Tech Stack

Frontend

• React.js
• Tailwind CSS
• Leaflet.js + OpenStreetMap

Backend

• Node.js + Express.js
• MongoDB Atlas
• Socket.IO

AI Service (Python)

• Whisper (Speech-to-Text)
• spaCy / scikit-learn (NLP)
• Flask (REST API)

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📁 Folder Structure

ERS2-Smart-Ambulance/ ├── backend/ # Node.js + Express APIs ├── frontend/ # React Dashboard with Map + Alerts ├── ai-service/ # Python Flask AI modules

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🚀 How to Run

1. Backend

cd backend
npm install
npm run dev

2. Frontend

cd frontend
npm install
npm run dev

3. AI Service (Python)

cd ai-service
pip install -r requirements.txt
python app.py

🌐 API Endpoints Backend (Express) POST /emergency – Create emergency entry

GET /emergency – Get all emergencies

POST /dispatch – Run dispatch AI logic

GET /ambulance – Get live ambulance data

GET /heatmap – Get predicted emergency zones

AI Service (Flask) POST /classify – Classify emergency priority from audio

POST /dispatch-ai – Suggest best ambulance & hospital

📊 Demo Features Real-time emergency feed and alerts

Ambulance route visualization on map

Heatmap overlays of predicted emergencies

Simulation mode for emergency testing

👨‍💻 Team Roles

Yash Machhi – Frontend + Backend (Full MERN stack)

Dipesh Chaudhary – AI Voice/NLP & Flask API

Aayush Raj Thakur – Dispatch Logic & Predictive Mapping

Vridhi Taory - Management & Presentation

📃 License MIT License – Feel free to reuse or build on this project for educational purposes.

🤝 Contributions Pull requests and issues are welcome!