WearProof

WearProof is a mobile app (iOS/Android) that audits the quality of data coming from popular sports wearables (heart rate straps, watches, footpods, cycling sensors) and flags when readings are likely wrong. Instead of giving you more charts, it focuses on detecting common failure modes: poor skin contact, cadence lock, HR dropouts, sensor battery sag, firmware quirks, and implausible spikes. It runs a short “pre-session check” and a “post-session integrity score,” then recommends fixes like strap wetting, placement, tightening, battery replacement, or switching recording source. It also keeps a history of device reliability so you can see which sensor is causing bad sessions. This is an AI + traditional app: rules handle obvious issues; lightweight ML models learn your personal baselines to reduce false alarms. Realistically, it won’t make cheap sensors accurate—but it will stop you from trusting garbage data.