Fix My City

Shaping a Better City with AI

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Inspiration

Many cities face daily civic issues such as potholes, garbage accumulation, broken streetlights, water supply problems, and damaged infrastructure. Citizens often notice these problems, but reporting them and ensuring that they receive attention from authorities can be difficult. In many cases, governments receive thousands of complaints every day, making it challenging to identify which issues require immediate action. As a result, critical problems sometimes remain unresolved for long periods, which can lead to health risks, traffic accidents, and, in extreme cases, even loss of life. This inspired us to build CityPulse AI, an intelligent civic complaint management system that helps prioritize and manage public issues using artificial intelligence.

What it does

CityPulse AI provides a platform where citizens can easily report civic issues by submitting: A description of the problem The location of the issue An optional image as evidence Once a complaint is submitted, the system uses AI to: Analyze the complaint description Automatically categorize the issue (roads, garbage, water, etc.) Assign a priority level based on severity and impact Estimate the number of citizens affected Route the complaint to the appropriate department The platform also provides: A citizen portal where users can track their complaints An admin dashboard for authorities to monitor and manage complaints AI-powered insights and clustering to identify problem patterns across the city This helps authorities focus on urgent issues first, improving response time and resource allocation.

How we built it

The system was developed using a full-stack architecture consisting of frontend, backend, database, and AI components. 1) Frontend The frontend provides an intuitive interface where citizens can: Log in using OTP authentication Submit complaints with descriptions and images View their previous complaints and track their status The admin dashboard provides data visualizations, complaint lists, and management tools for authorities. 2) Backend The backend is built using FastAPI, which handles: ->User authentication ->Complaint submission ->API communication ->Image uploads ->AI analysis integration 3) Database The platform uses SQLite to store complaint records, including Complaint details AI analysis results Complaint status Citizen information Status history AI Integration Artificial intelligence is used to analyze complaints and determine the following: Issue category Priority score Estimated citizen impact This allows the system to intelligently prioritize complaints instead of relying on manual sorting.

Challenges we ran into

One of the biggest challenges was designing an effective complaint prioritization system. Cities can receive thousands of complaints, so determining which issues require immediate action required careful design. Another challenge was integrating multiple components into a single system, including: Connecting frontend interfaces with backend APIs Handling image uploads and validation Designing AI logic for categorization and priority detection Managing complaint data efficiently using a database Ensuring that the platform remained user-friendly while still performing intelligent analysis was also an important challenge.

Accomplishments that we're proud of

Some of the key achievements of this project include: Designing a simple and accessible complaint reporting system Implementing AI-based complaint analysis and prioritization Building a full-stack system with frontend, backend, and database integration Creating an admin dashboard with analytics and complaint tracking Developing a system that can potentially improve how civic issues are handled Even though this is a prototype, it demonstrates how AI can help improve urban governance and public service management.

What we learned

Through this project, we gained valuable experience in: Designing real-world problem-solving applications Building full-stack web applications Integrating AI into practical systems Handling user-generated data and complaint management workflows Creating dashboards and analytics for decision-making This project also helped us understand how AI technologies can be applied to improve public infrastructure management and smart city initiatives.

What's next for CityPulse AI

There are several ways this system can be expanded in the future: AI-based prediction Using historical complaint data, the system can predict areas where problems are likely to occur frequently. Automated task assignment AI agents can automatically assign complaints to the nearest available workers based on location and workload. Worker tracking Authorities can track which teams are handling specific complaints and monitor progress. Citizen notifications Citizens will receive notifications when their complaints are resolved so they can verify the solution. Smart city integration The system can be expanded to integrate with other smart city infrastructure such as traffic monitoring, waste management systems, and environmental sensors.

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