NoTch

Background

Existing contact-tracing applications only warned users after exposure. We asked: what if we could predict and prevent instead?

The Problem

The traditional reactive model suffered from:

• Delayed alerts — warnings came too late
• Unreliable distance measurements prone to interference
• Infrastructure costs that limited deployment
• Privacy concerns that reduced adoption rates

The Innovation

NoTch combined three smartphone-native signals for unprecedented accuracy:

• Ultrasound — Sub-meter precision in quiet environments, primary distance measure within ~3 meters
• Bluetooth Low Energy — Corroborated readings where ultrasound struggled
• Wi-Fi RTT/RSSI — Extended network mapping across 5-10 meter ranges indoors

This sensor fusion approach gave us distance accuracy that no single technology could achieve alone.

My Role

I led product strategy, created UI systems across web and mobile platforms, architected the sensor fusion technology, and shipped a TestFlight MVP within six weeks — all while maintaining privacy-first principles compliant with GDPR and Indian data protection standards.

Results — GetLook Deployment