ETA+ | Devpost

ETA+
Features
System Architecture
Design

Inspiration

Travel safety is a significant concern, especially for women and solo travelers. Many existing check-in solutions are limited by ecosystem constraints and lack advanced verification methods. We recognized the need for a universal, cross-platform, AI-driven safety solution that ensures real-time monitoring and proactive intervention. Inspired by the necessity to bridge these gaps, ETA+ was designed to provide a seamless, reliable, and accessible check-in system for all travelers, regardless of their device or location.

What it does

ETA+ is a Conversational AI-Powered Smart Check-In System that enhances travel safety through:

Real-Time ETA Monitoring: Tracks user location with Google Maps API and dynamically adjusts expected arrival times.
Automated Notifications: Sends push notifications (via Firebase Cloud Messaging) and automated AI-driven phone calls when check-ins are missed.
Secure Verification: Uses a BeReal-style video check-in with voice and facial recognition for authentication.
Emergency Contact Alerts: Automatically escalates missed check-ins, alerting emergency contacts with real-time transcripts and location data.
Dynamic AI Interactions: AI-powered phone calls prompt travelers for updates, detecting distress signals and triggering alerts if necessary.

How we built it

ETA+ was developed using a modern, scalable tech stack:

Frontend & PWA: Built with Next.js and Tailwind CSS for a seamless, cross-platform experience.
Authentication & Database: Supabase Auth and Supabase DB for secure user management.
Real-Time Location Services: Google Maps API for precise ETA calculation and travel tracking.
Push Notifications: Firebase Cloud Messaging for real-time alerts.
Conversational AI: Retell AI for natural, empathetic check-in interactions.
Multi-Modal Verification: AI-powered voice and facial recognition for secure authentication.

Challenges we ran into

Cross-Platform Compatibility: Ensuring seamless functionality between Android and iOS devices while maintaining a consistent UX.
Reliable AI-Driven Check-Ins: Fine-tuning AI responses to accurately detect distress signals and avoid false positives.
Balancing Privacy & Security: Implementing secure verification without compromising user privacy.
Optimizing ETA Calculations: Accounting for variable travel conditions while maintaining a robust safety buffer.

Accomplishments that we're proud of

Successfully integrating a multi-modal authentication system combining video, voice, and keyword detection.
Building an AI-powered check-in system that adapts dynamically to travel conditions.
Implementing automated emergency escalation, ensuring real-time support for users in distress.
Creating an intuitive, accessible PWA that works across multiple platforms.

What we learned

The importance of user-centric design in safety applications.
The challenges and best practices in AI-driven real-time monitoring.
How to integrate multiple third-party APIs and cloud services to create a seamless experience.
The significance of privacy considerations in personal safety applications.

What's next for ETA+

Integration with emergency services for direct response coordination.
Advanced AI enhancements for improved distress detection and response automation.
Expansion to additional languages and dialects for greater global accessibility.
Developing native mobile apps for iOS and Android to enhance the PWA experience.
Data-driven insights to continuously refine and optimize travel safety protocols.

ETA+ is not just an app; it’s a lifeline for travelers, ensuring every journey is safer, smarter, and stress-free.