🚨 AlertAI

AlertAI is a real-time emergency response management platform that integrates automated call transcription, AI-powered recommendations, and live resource assignment for 911 centers and emergency responders.

It consists of two main parts:

• Backend: A FastAPI application for handling Twilio webhooks, audio streaming, transcriptions, and data management.
• Frontend: A Gradio-based dashboard for dispatchers to monitor, assign, and manage emergency resources in real-time.

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📦 Features

• Voice Call Handling: Receives emergency calls via Twilio, streams audio, and transcribes speech.
• Real-Time Dashboard: Live view of all emergencies, caller details, locations (on a map), and resource assignments.
• Resource Assignment: Dispatch police, ambulances, or fire trucks directly from the dashboard.
• AI Recommendations: Suggests the best actions for each emergency using AI.
• Map Integration: Visualizes incidents on an interactive map.
• Multi-user Support: Designed for 911 centers and dispatch operations.

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📷 Screenshots

📊 Dashboard Overview

📋 Emergency Details & Unit Assignment

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⚡ Setup Instructions

1. Clone the repository

git clone https://github.com/Pranav-Vishwanatham/AlertAI.git
cd AlertAI

2. Backend Setup

cd backend
python -m venv venv
# Activate the virtual environment:
# On Mac/Linux:
source venv/bin/activate
# On Windows:
venv\Scripts\activate

pip install -r requirements.txt

• Set up environment variables:
  Create a .env file in the backend directory and add necessary credentials (MongoDB URI, Twilio secrets, etc.).

3. Frontend Setup

cd ../frontend
pip install gradio

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▶️ Running the Application

1. Start Backend

cd backend
# Make sure your virtual environment is active!
uvicorn app.services.main:app --reload
# (or python main.py if you use a direct script entry point)

2. Start Frontend

In a new terminal:

cd frontend
python frontend.py

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📋 Usage

• Open the Gradio dashboard link (displayed in the terminal) in your browser.
• Monitor live emergencies, review AI-generated recommendations, and assign units as needed.
• Incoming calls and events appear instantly; maps update in real-time.

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🧩 Technologies Used

• FastAPI (backend REST API)
• MongoDB (database)
• Twilio (voice streaming)
• OpenAI/Azure (speech-to-text & AI)
• Gradio (interactive dashboard UI)
• Folium/Leaflet (maps)
• Python (all codebase)