Lahore Clean City

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  Lahore Clean City Main Dashboard And AQI Tracker

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  Ai Legal Evidence Capture with geotagging and Timestamp

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  Geopatial impact Analyttics and EPA Responce Maping

Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Lahore Clean City

Inspiration

Lahore's rising air pollution and illegal waste burning inspired us to act. We realized that traditional complaint systems fail because they lack precise, unalterable location data and legally binding evidence for authorities. We wanted to build a practical tool that bridges the gap between citizens and the Punjab EPA.

What it does

Lahore Clean City is an AI-powered geospatial mobile platform. It automatically detects illegal burning and waste dumping using image analysis. Crucially, it targets the hackathon's core guidelines:

1. Offline Data Resiliency: It works flawlessly in low-connectivity areas by caching reports locally.
2. Last-Mile Verification: It closes the loop by requiring a post-cleanup photo confirmation to officially close a reported violation.

How we built it

We designed a high-fidelity interactive prototype focused on an intuitive UI/UX. The frontend dashboard tracks real-time AQI and logs active environmental violations. We simulated the AI engine to auto-capture tamper-proof GPS coordinates and timestamps, ensuring the data routed to the Punjab EPA is highly actionable.

Challenges we faced

The biggest challenge was designing a workflow that ensures accountability in areas with weak internet networks. We overcame this by architecting an offline-first storage mechanism that syncs automatically when the user reconnects to the network, preventing any critical environmental data from being lost.

Accomplishments that we're proud of

We are proud of creating a solution that isn't just a basic reporting tool but a complete, practical ecosystem. Linking live evidence directly to enforcement authorities while ensuring last-mile verification makes our solution highly distinct from typical tracking apps.

What we learned

We learned the importance of focusing on a practical, working solution rather than over-complicating features. Adapting our project to solve localized problems like low-connectivity and strict verification taught us how to design software for real-world impact.

Built With

• ai
• figma
• geospatial
• mapping
• ui
• uui
• ux