CamSyncer

CamSyncer is a mobile + web AI app that turns the messy reality of camera-trap work into a repeatable workflow. It ingests SD-card dumps (or cloud folders), detects duplicates, flags corrupted files, and creates a standardized project structure automatically. The AI model proposes species labels and counts, but the core value is ruthless data hygiene: consistent filenames, timestamps, GPS/site metadata, and audit trails so teams can trust what they publish. It supports offline-first field reviews on mobile, then syncs to the web dashboard when connectivity returns. Exports are built for real deliverables: CSVs for analysis, COCO-style annotations, and ready-to-submit datasets for common conservation reporting. This is not a “magic species ID” promise; it’s a practical pipeline that reduces weeks of manual sorting into hours while keeping human verification front and center.