Emergency AI Assistant

Provide first-aid-guide and send alert to family

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How I built it

Emergency AI Assistant Web App

Inspiration

Emergencies can happen anytime, and access to instant help can be life-saving. Many people don’t know how to respond during critical situations like heart attacks, accidents, or sudden medical issues. I wanted to build an AI-powered assistant that can:

  • Detect emergencies in real time
  • Send instant alerts to emergency contacts
  • Provide first-aid guidance using AI
  • Share live location for better assistance

By leveraging AI, this project aims to make emergency response faster, smarter, and more accessible.

What I Learned

Building this project was a great learning experience. Some of the key takeaways include:

  • Integrating AI into real-world applications (AI-powered first-aid guide)
  • Working with Twilio for real-time alerts
  • Building a scalable backend with Django & Django REST Framework
  • Handling real-time communication using WebSockets
  • Optimizing API calls for better performance and cost-efficiency

How I Built It

This project follows a full-stack approach with:

Frontend (User Interface)

Next.js (React + TypeScript) for a fast and dynamic UI CSS styling Axios for API communication WebSockets for real-time updates

Backend (Business Logic & API)

Django & Django REST Framework for handling API requests Twilio API for sending SMS & voice alerts Google Maps location sharing

APIs Used

Gemini→ AI-powered first-aid guidance Twilio API → Call-based emergency alerts Googlemap → Location sharing

Challenges I Faced

Real-time Communication → Implementing WebSockets for live updates was challenging but crucial for instant alerts. Optimizing API Calls → Managing API rate limits & costs while ensuring low latency responses was a key focus. Ensuring High Availability → Setting up a reliable backend infrastructure to prevent downtime in critical scenarios.

What's Next?

Expand AI capabilities to suggest customized first-aid steps based on user health conditions Integrate emergency services APIs to notify hospitals & responders directly Integrate voice detection with custom AI models for better accuracy Develop a mobile version for better accessibility

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