Acoustic Engine Analysis
Records engine audio, applies RPM filtering and signal checks, then marks possible anomalies with severity tags and timestamped events.
Auscult is an iOS vehicle app for document tracking, workshop discovery, plate OCR, and acoustic analysis experiments, backed by a Cloudflare Workers + D1 + R2 stack.
Three product surfaces share one data model: the iOS app for drivers, an admin panel for operations, and a workshop portal for independent mechanics.

Records engine audio, applies RPM filtering and signal checks, then marks possible anomalies with severity tags and timestamped events.
Native Apple Vision OCR reads the plate from the camera and helps fetch year, make, model, engine, and tyre specifications.
Inspection, insurance, road tax, service intervals, and tyre wear are tracked with countdowns and reminder notifications.
Drivers can find nearby workshops with ratings, specialties, and booking options. The workshop portal lets shops manage requests.
Backend on Workers, D1 for structured data, R2 for audio recordings and images, and JWT authentication stored in the iOS Keychain.
Two separate web interfaces on Cloudflare Pages: one for operations oversight and one for workshops to manage jobs and clients.
Auscult combines audio signal processing, on-device ML, Cloudflare infrastructure, and mobile UX. We can help shape the technical path for a similar product.