PoacherWatch

PoacherWatch is a mobile and web app that helps conservation teams crowdsource and automate early detection of illegal wildlife activity in and around protected areas. Rangers, local communities, and eco-tour operators can log suspicious activity with photos, GPS, and time stamps, while low-cost camera traps and acoustic sensors stream data into the same platform. An AI layer flags high-risk patterns—gunshots, vehicle sounds at night, human movement in restricted zones—and pushes prioritized alerts to rangers in the field. The app focuses on brutally practical workflows: offline-first data capture, ultra-simple forms, and clear risk scores instead of pretty dashboards that no one in the bush can use. It’s not a feel-good donation app; it’s an operational tool for people whose jobs and lives are on the line. The business model is B2B/B2G: paid deployments for NGOs, park authorities, and conservation tech organizations, with pilots heavily subsidized but long-term contracts priced realistically. Success depends on proving that this actually leads to more arrests, fewer snares, and better patrol allocation—not on vague “awareness” metrics.