energy-t

Source

On-device energy tracking from phone accelerometer and thermal sensors. A lightweight iOS/Android app that runs entirely on-device to estimate personal energy levels throughout the day by analyzing movement patterns (accelerometer data), sleep quality, and device thermal signatures—no cloud uploads, no battery drain. Users see a simple timeline dashboard showing energy dips and peaks, helping them identify when they're most productive or need breaks. The core tech is a lightweight ML model quantized to run on-device; the demo focuses on real-time energy prediction during a hackathon day (comparing self-reported energy to predicted scores).

Operating data

tier

mean_good

readme persona

enthusiastic

verifier verdict

looks good

source

synthetic

deploy target

vercel

synthetic track

tech_frontier:edge_ai