Alertify

Inspiration

Over 466 million people worldwide are deaf or hard of hearing and many cant hear life-saving sound like fire alarms, sirens, or even glass breaking i built alertify to bridge that gap. inspired my real stories and accessibility needs , i wanted to create an app that brings emergency awareness to everyone without needing expensive hardware .

What it does

Alertify is a ai powered emergency sound detection app built specially for the deaf and hard of hearing community It listens to real-time audio using the device’s microphone and identifies eight life-saving sounds such as: Fire and smoke alarms Car horns Smoke detector chirps Glass breaking Security and door alarms Emergency sirens Once a sound is detected, Alertify instantly notifies the user through: Flashing visual alerts Urgent vibration feedback Color-coded danger indicators

It also offers: Offline processing (no internet required for detection) AI-based adaptive sound filtering Cloud sync and user authentication via Supabase Custom sensitivity settings for different environments

How we built it

Alertify was built on bolt , using reactive native with sxpo sdk 52 and typescript for cross platform mobile development we integrated supabase for secure authentication, real time database syncing, and cloud storage doe user data

Challenges we ran into

making the sound detection identify various sound

Accomplishments that we're proud of

built a production-grade AI sound detection system using only Bolt and web technologies Achieved real-time emergency sound recognition with no cloud processing Created a solution that can genuinely help the deaf and hard of hearing stay safe Integrated Supabase for secure login, user profiles, and cloud sync — in a no-code/low-code environment Designed a beautiful, accessible UI with visual alerts and vibration feedback

What we learned

How to build a real-time audio processing system entirely in Bolt The importance of designing for accessibility, not just functionality How to integrate Supabase for secure user management and cloud syncing How to optimize FFT-based sound detection for mobile performance

What's next for Alertify

Train a custom ML model for even more accurate sound classification Launch on the Play Store and App Store for wider access Add multilingual voice and subtitle alerts for broader inclusivity Integrate sign language detection and gesture-based controls Collaborate with NGOs and accessibility groups to bring Alertify to those who need it most Open-source core components to help others build inclusive tec

Built With

• bolt
• expo.io
• react-native
• supabase
• typescript