ResQ is a real time disaster response platform designed to help citizens report emergencies instantly while giving authorities an intelligent system to verify, classify, and respond using multimodal AI. Our team built it to solve a major issue during disasters: false reports, slow verification, and fragmented data that delay critical action. ResQ provides structured incident reporting, automated validation, and an authority dashboard for rapid decision making. As part of the core engineering team, I led the mobile development, AI pipeline integration, and the underlying backend flows. I built 7 full production level screens across two user profiles: • Citizen App: Onboarding, OTP email login, incident reporting, location tagging, severity insights, nearby feed (for alerts by users in nearby locations within 5km radius) • Authority App: Dashboard, incident review panel with AI scores, map overlays, automatic resource allocation I designed these screens end to end using React Native, focusing on clean UX, fast interactions, and smooth transitions between citizen submissions and authority decisions. On the AI side, my teammates trained models like EfficientNet, MobileNet, and YOLOv5, while I integrated the entire AI pipeline into the app and built the Gemini verification layer. For the backend, I implemented Supabase based OTP authentication, role separation for citizen and authority users, incident storage with geolocation, and real time syncing between public reports and authority decisions. 🏆 ResQ earned 2nd place out of 147 teams in our university's Project Showcase Skills demonstrated: React Native, Supabase (Auth, DB, Storage), AI model integration, YOLOv5, EfficientNet, Gemini API, REST APIs, mobile UX, real time architecture, teamwork, and end to end product development.