Halo-AI

HALO is an AI-powered women's safety agent that provides real-time guidance, SOS activation, emergency contact management, and proactive safety support using Gemini.

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HALO – AI Safety Companion

Inspiration

Personal safety remains a daily concern for millions of people, especially women traveling alone, commuting at night, or facing unexpected situations. While many safety apps focus only on emergency alerts, we wanted to create something more proactive—an intelligent companion that can guide users before, during, and after a potential safety incident.

This led us to build HALO, an AI-powered safety agent designed to provide real-time assistance, emergency support, and practical safety guidance whenever users need it most.

What It Does

HALO acts as a personal safety companion powered by Gemini. Users can:

  • Chat with an AI safety assistant for situation-specific guidance.
  • Receive immediate safety recommendations during potentially dangerous situations.
  • Store and manage emergency contacts.
  • Trigger SOS alerts and incident reporting workflows.
  • Access safety-focused features through a simple and mobile-friendly interface.

Unlike traditional chatbots, HALO is designed to help users take action by providing practical next steps rather than generic information.

How We Built It

HALO was built using:

  • React and TanStack Start for the frontend
  • Node.js and Express for the backend
  • Gemini for AI-powered reasoning and safety guidance
  • MongoDB Atlas for storing contacts and incident-related data
  • Vercel and modern web deployment tooling for hosting and testing

The frontend provides an intuitive user experience while the backend manages safety workflows, AI interactions, and data storage.

Challenges We Faced

One of the biggest challenges was integrating multiple services while maintaining a smooth user experience. We spent significant time troubleshooting database connectivity, deployment issues, routing configurations, and frontend build pipelines.

Another challenge was designing AI responses that remain concise, practical, and safety-focused. We refined prompts and workflows to ensure HALO provides actionable guidance rather than lengthy generic responses.

What We Learned

This project strengthened our understanding of:

  • AI agent design and prompt engineering
  • Full-stack application development
  • MongoDB integration and data modeling
  • Frontend deployment and SSR workflows
  • Building user-centric safety applications

We also learned how important reliability, clarity, and speed are when developing tools intended for real-world safety scenarios.

Future Improvements

Future versions of HALO will include:

  • Live location sharing
  • Automated emergency notifications
  • Voice-based SOS activation
  • Predictive risk detection
  • Enhanced incident tracking and reporting
  • Deeper integration with emergency response systems

Impact

HALO demonstrates how AI can move beyond answering questions and actively help people make safer decisions. By combining intelligent guidance with practical safety tools, HALO aims to provide users with confidence, support, and actionable assistance when it matters most.

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