Assistive tech · Team ASTRA-X
UNSPOKEN
A chest-mounted wearable that helps visually impaired users sense obstacles and lets non-verbal users speak through gestures.
Award winner · Best Innovation Team
- Raspberry Pi Zero 2 W
- Python
- Node.js
- React
- TensorFlow Lite
- OpenCV
- Gemini API
Source code ↗ CHAKRAVYUH post ↗
Problem
One affordable device for two groups: people who cannot see obstacles around them, and people who cannot speak.
Team build
Two ultrasonic sensors with vibration motors for left/right obstacle alerts, an MPU6050 IMU that turns lean gestures into spoken phrases ("Yes", "No", "Help", "SOS"), and a camera for scene description. A Python sensor-fusion loop on a Raspberry Pi Zero 2 W runs all of it, and a Node.js WebSocket server feeds a live React dashboard.
Hardest problem
A Pi Zero 2 W cannot run full TensorFlow or MediaPipe. The team used TensorFlow Lite models on the device and split the work: safety features run offline, while richer scene description uses the Gemini API when a connection exists.
Outcome
Won the Best Innovation Team award, with a ₹10,000 prize, at the 36-hour CHAKRAVYUH 1.0 National Hackathon, GITA Bhubaneswar, 30–31 January 2026.
Screenshots
Want to talk about this project?
I'm open to data internships, projects and hackathon teams.
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