Green Go

GreenGo is a community platform that uses AI and satellite data to map local biodiversity and help people take real climate action in their neighborhoods.

Comment

💡 Inspiration

Growing up, communities were naturally connected and engaged with their environment. Today, that sense of connection has weakened due to the influence of digitalization . So that we created GreenGo to bring back community engagement and make environmental action local, visible, and achievable.

⚙️ What it does

GreenGo is a platform that helps communities understand and improve their local environment.

  • Uses satellite data to analyze vegetation health (NDMI)
  • Allows users to upload images of plants and animals
  • Uses AI to identify and label biodiversity
  • Builds a shared, real-time view of a community’s ecosystem
  • Encourages participation through community engagement

🛠 How we built it

  • Frontend: React + Vite for a fast and modern UI
  • Backend: Django with REST APIs
  • Cloud: AWS for storage and processing
  • AI: Computer vision models for plant recognition
  • Geospatial: Google Earth Engine for satellite data and NDMI analysis
  • Maps: Google Maps / Leaflet for visualization

⚠️ Challenges we ran into

  • Integrating cloud-based AI workflows for the first time
  • Working with satellite data and geospatial APIs
  • Handling limited documentation for mapping tools
  • Managing multiple new technologies under tight time constraints
  • Now on stage of being tested on local environment

🏆 Accomplishments that we're proud of

  • Built a full-stack application with real-world impact
  • Successfully integrated AI and satellite data
  • Created a working prototype with a clear use case
  • Demonstrated resilience by overcoming technical challenges

📚 What we learned

  • How to work with AI and cloud infrastructure in real projects
  • The complexity of geospatial and environmental data systems
  • The importance of adaptability and teamwork under pressure
  • How to turn an idea into a functional product quickly

🚀 What's next for Green Go

  • Add map-based pins for uploaded biodiversity data
  • Improve AI accuracy for plant and animal recognition
  • Enhance community features and engagement tools
  • Scale the platform for real-world deployment
  • Expand into mobile applications

Built With

Share this project:

Updates