tahsansamin/StreetWatch

StreetWatch is a citizen based surveillance app designed to help with road surveillance in Uganda. Users upload pictures of road hazards, building a map for authorities to use. # StreetWatch 🛣️ ## The Problem Uganda's roads are facing a critical infrastructure challenge. Potholes and road damage pose significant safety risks to commuters and vehicles, yet comprehensive road surveillance remains expensive for local authorities. Traditional surveillance systems require extensive capital investment, specialized personnel, and ongoing maintenance—costs that strain municipal budgets and limit coverage across vast urban and rural areas. ## The Solution **StreetWatch** is a community driven surveillance tools. As a road user you upload photos of road hazards you encounter which forms a map of what needs servicing to be used by authorities. By empowering citizens to report and document road damage through a simple interface, StreetWatch enables authorities to: - 📊 **Monitor road conditions** in real-time across their jurisdiction - 💰 **Reduce surveillance costs** through crowdsourced reporting - 🎯 **Prioritize repairs** based on severity and frequency of reports - 👥 **Engage communities** in civic infrastructure maintenance Live app: street-watch-six.vercel.app Watch me use the app on the roads of Kampala : youtube.com ! ## How It Works 1. **Citizens Report**: Users capture and submit photos of potholes and road damage through the mobile-friendly web interface 2. **AI Detection**: Our machine learning model automatically prevents spam uploads. 3. **Data Aggregation**: Reports are mapped and aggregated to show problem areas 4. **Authority Access**: Local authorities can access the dashboard to view all reported issues and plan maintenance ## Key Features ✅ **Real-time reporting** - Citizens can submit reports instantly with photos ✅ **Intelligent detection** - AI-powered pothole and road damage identification ✅ **Interactive mapping** - Visualize all reported issues on an interactive map ✅ **Severity classification** - Automatic assessment of damage severity ✅ **Image compression** - Optimized fo …