GearWitness: Privacy-First Local AI Return Inspection for Equipment Rentals
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle . What I Built Independent camera-rental shops, community equipment libraries, and creators running rental side hustles face the same awkward moment: a valuable kit comes back, a customer is waiting, and the ope
Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle Submission 馃捀
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle.
Independent camera-rental shops, community equipment libraries, and creators running rental side hustles face the same awkward moment: a valuable kit comes back, a customer is waiting, and the operator must quickly decide whether a mark is new damage, harmless glare, or normal wear鈥攁nd whether every cable and battery came back.
GearWitness is a privacy-first local AI return-inspection workstation. It aligns checkout and return photos, proposes evidence-backed changes, reconciles the kit inventory, and requires a human decision before an inspection can be finalized.
The paying users are small rental operators and media-loan desks that cannot justify enterprise inspection software or cloud vision fees. My launch hypothesis is a $39 one-time workstation license, with an optional paid setup service for custom capture templates and inventory imports. This is a pricing hypothesis, not a revenue claim; I have not taken payment yet.
Live demo: https://gearwitness.onrender.com
The public Render deployment deliberately identifies itself as Deterministic Fixture mode. It demonstrates the complete operator workflow without pretending that the free hosted container has a local Ollama runtime. A free Render instance may need a short cold start after inactivity.
The deployed health endpoint, image fixtures, evidence crops, operator decisions, manifest, HTML report, and PDF report were all verified with HTTP 200 responses. A clean browser run produced zero console errors.
Privacy-First Local AI Return-Inspection System for Equipment Rental Businesses Deterministic Computer Vision Alignment + Constrained Local Gemma 3 Multimodal Reasoning + Strict Human Decision Boundary
Equipment rental operations (cameras, cinema packages, pro audio, drones, precision surveying tools, and construction machinery) face a structural friction point at the return counter: