Inspiration

Mangrove forests and coastal forest ecosystems play a crucial role in maintaining environmental balance, especially in regions like the Sundarbans. They act as natural barriers against storms, help regulate climate, store large amounts of carbon, and provide habitats for countless species. Unfortunately, these ecosystems are increasingly threatened by urban expansion, illegal logging, and infrastructure development. Monitoring such large and complex areas manually is difficult and often happens too late to prevent serious environmental damage.WatchSunderbans was inspired by the idea of using technology to make environmental monitoring faster and more accessible. We wanted to explore how AI, satellite imagery, and drone-based observations could help detect deforestation and mangrove loss earlier and provide useful insights for conservation efforts.

What it does

WatchSunderbans is an AI-powered platform designed to monitor environmental changes in mangrove and forest ecosystems, particularly in vulnerable regions like the Sundarbans. It analyzes satellite imagery and drone-captured images to detect signs of deforestation, mangrove degradation, or vegetation loss.The platform highlights affected areas on a map-based dashboard, allowing users to visually identify where environmental damage may be happening. Satellite data provides large-scale monitoring, while drone imagery can offer higher-resolution verification of affected areas. The goal is to make it easier for researchers, conservation groups, and authorities to monitor vulnerable regions and respond quickly.

How we built it

To build WatchSunderbans, we combined geospatial data analysis with machine learning and modern web technologies. Satellite and drone imagery are processed using computer vision techniques to identify vegetation patterns and detect potential forest loss or mangrove degradation.The backend processes imagery and runs the detection models, while the results are visualized through an interactive web dashboard where users can explore different locations and monitor environmental changes. This approach helps transform complex geospatial data into a format that is easier to understand and act upon.

Challenges we ran into

One of the main challenges was working with satellite imagery, which can vary in resolution and quality. Processing and analyzing these images efficiently within the limited time of a hackathon required us to simplify some parts of the system while still demonstrating the core concept.Another challenge was designing a prototype that clearly shows how AI can assist environmental monitoring without requiring large datasets or heavy infrastructure. Integrating multiple data sources, such as satellite and drone imagery, also required careful consideration in how the information is processed and visualized.

Accomplishments that we're proud of

Within a short development period, we were able to design a working prototype that demonstrates how AI and geospatial data can be used for monitoring mangrove and forest ecosystems.We are especially proud of creating a system that turns complex satellite and aerial imagery into a visual and understandable monitoring tool through an interactive dashboard. The project highlights how technology can support conservation efforts in regions like the Sundarbans.

What we learned

Through this project, we learned how geospatial data, computer vision, and AI can be combined to address environmental problems. We also gained experience working with satellite imagery and understanding how drone-based observations can complement large-scale monitoring.This project showed us how combining multiple data sources can improve environmental monitoring and provide more reliable insights.

What's next for WatchSunderbans

WatchSunderbans could be expanded into a more advanced environmental monitoring system in the future. Potential improvements include real-time satellite data integration, automated alert systems for conservation teams, and deeper integration with drones for high-resolution environmental surveys.The platform could also expand to monitor other forest regions and ecosystems beyond the Sundarbans. Our goal is to continue exploring how technology can support better environmental protection and more informed environmental decisions.