ETA+
Conversational AI pipeline and safety check-in system.
[ Visit project โ ]Summary
A safety check-in app that tracks a trip's ETA in real time and automatically alerts a trusted contact if you don't check in, using voice and facial verification instead of a simple "I'm safe" button.
Problem you're solving
Location-sharing safety apps rely on the at-risk person remembering to tap "I'm safe," which fails exactly when it matters most โ and text-based check-ins are easy to fake under duress.
Target user
People commuting or traveling alone who want a trusted contact to know they arrived safely, without manually managing check-ins.
Competitors
Life360 and bSafe offer real-time location sharing, but their check-ins are manual and don't verify it's actually the user confirming safety.
Insight
A check-in is only reassuring if you can trust who sent it โ voice and face verification turn a simple tap into an actual identity confirmation.
Solution
Combines Google Maps ETA tracking with automated voice check-in calls and facial recognition for identity verification, alerting a trusted contact automatically if a check-in is missed.
- Next.js
- Python
- Supabase
- Retell AI
- Google Maps API
Distribution
Built as a hackathon project โ a conversational AI pipeline and safety system; now archived, without further public distribution.
Adapting to user feedback
Feedback came from judges and teammates during the event rather than live users โ the biometric-verification layer was added specifically in response to judges asking how the system would know it was really the trusted person checking in.