IgniteX

The world is rapidly shifting from writing code to designing intelligent outcomes. However, most civic complaint systems still rely on outdated and inefficient workflows that lack automation, transparency, and smart decision-making capabilities. Citizens face major difficulties while reporting civic issues such as: potholes, garbage accumulation, water leakage, broken streetlights, drainage problems, and public infrastructure damage. Traditional systems suffer from: delayed response times, poor communication, lack of real-time tracking, inefficient prioritization, and minimal citizen engagement. Government authorities also struggle with: handling large volumes of complaints, identifying high-priority problems, monitoring departmental efficiency, and making data-driven decisions. This hackathon challenges participants to build an AI-Powered Smart Civic Issue Management System that transforms traditional complaint management into an intelligent, automated, and citizen-friendly digital platform. The platform should leverage: AI-driven workflows, smart automation, real-time analytics, and location intelligence to create a modern civic governance solution. 🛠️ What the Solution Should Do Participants will develop a working AI-powered prototype that enables citizens to: Register civic complaints with images/videos Pin exact issue locations using maps/GPS Track complaint status in real time Upvote and comment on existing issues Receive instant notifications and updates The platform should also provide an admin/government dashboard to: Manage and assign complaints Monitor complaint resolution progress Analyze issue-heavy areas using heatmaps Generate reports and analytics Prioritize issues intelligently using AI 🤖 AI Integration Requirements The solution should utilize AI as a core feature instead of just a supporting tool. Possible AI features include: AI-based issue classification from uploaded images Smart priority prediction based on votes, location, and severity AI chatbot assistant for complaint guidance Automated categorization and routing of complaints Predictive analytics for civic problem trends 🎯 Objective The objective is to build a scalable and intelligent civic-tech product that: improves citizen engagement, increases transparency, reduces complaint resolution time, and enables smarter urban governance through AI and automation. ⚡ Expected Outcome By the end of the hackathon, participants should deliver: a functional AI-powered prototype, an intuitive user experience, smart automation workflows, and a product-focused solution capable of solving real-world civic problems efficiently. 🧰 Suggested Tech Stack Frontend React.js / Next.js Tailwind CSS Backend Node.js + Express.js Database MySQL AI/ML TensorFlow / OpenAI APIs / Image Classification Models APIs & Services Google Maps API Firebase Notifications JWT Authentication 🌟 Innovation Focus This project emphasizes: AI-first development Prompt-driven workflows Product-centric thinking Rapid MVP building Real-world impact