Niva
From an insole to an understandable gait signal.
An ESP32 smart-insole prototype with a web dashboard, mobile app, and biomechanics rules that can be inspected.
Hardware + software prototype
What I built
Sensor readings are only useful when you can explain how they become gait measurements.
- Acquired pressure, piezoelectric, and MPU6050 telemetry using ESP32 firmware.
- Implemented USB Serial and Wi-Fi WebSocket transport, a React dashboard, and a Flutter mobile app.
- Calculated gait phase, cadence, center of pressure, and stability using explicit rules. The preview shows a disconnected prototype, not a clinical validation.
- Showcased the prototype at Automation Expo in July 2026 with the project team.
Tools: ESP32, React, Flutter, Web Serial, WebSocket.
Website & project links
This project is documented here as a prototype or source project. A current deployed website has not been verified.
- Public repository ↗https://github.com/https-shubhamsahu/niva
About the builder
Shubham Sahu is an engineering student and builder in Mumbai, working across embedded systems, robotics, AI tools, and web and mobile applications. He co-founded Aurigen.
Shubham Sahu’s official profile and social accounts ↗