FenceFixer

FenceFixer is a mobile + web app (traditional + AI) for farms and conservation teams to prevent human-wildlife conflict by keeping deterrent infrastructure working. Users log and map fences, beehive fences, lights, chili ropes, and water points, then run quick inspections with photo checklists. The AI flags likely failure points (sagging wires, broken insulators, vegetation shorting electric lines) from photos and prioritizes repairs by risk, season, and recent incident reports. Offline-first field mode supports remote areas; syncs when back online. A simple “incident to root-cause” workflow links crop raids or livestock losses to nearby deterrents and maintenance history, producing evidence for insurers, NGOs, or compensation programs. The product is realistic: it doesn’t “predict animals,” it reduces preventable breakdowns and improves accountability with measurable maintenance KPIs.

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