🟩 Project Name
UrbanBloom – Turn Grey Spaces Green
🌱 Inspiration
During Delhi’s peak smog season, the city skyline disappeared behind toxic haze.
Breathing felt difficult, and temperatures rose due to concrete everywhere.
At the same time, I noticed countless unused rooftops, blank walls, and vacant corners.
It sparked a realization:
If each tiny unused space became green, the city could breathe again.
UrbanBloom emerged from the belief that citizens can drive climate action by transforming forgotten spaces into micro-green ecosystems.
✅ What It Does (Concept Stage)
UrbanBloom is an AI + GIS-powered platform that aims to:
- Detect underused urban spaces via satellite & street-view imagery
- Suggest greening solutions (vertical gardens, micro-farms, compost hubs, solar units)
- Allow users to “claim” a location for greening
- Connect citizens with NGOs, volunteers & local authorities
- Track CO₂ saved, green coverage & cooling impact
UrbanBloom turns grey city spaces into green climate assets, one micro-project at a time.
🛠️ How We Built It (In Progress / Research Phase)
- Defined the problem using Delhi air-quality data & heat-island studies
- Researched open satellite imagery sources & GIS layers
- Studied ML models for surface classification & space feasibility
- Designed user flows, concept UI, and platform architecture
- Preparing MVP for manual spot-tagging + mapping
🚧 Challenges We Ran Into / Expect
- Accessing clean satellite + GIS datasets
- Training AI to distinguish feasible vs. restricted areas
- Creating a permissions workflow with civic bodies
- Encouraging citizen participation & long-term adoption
- Balancing accuracy, usability, and privacy
🏆 Accomplishments
- Problem sourced from real community experience (Delhi pollution crisis)
- Clear vision for citizen-powered environmental action
- Solid early-stage UX, workflow, and data research
- Mission rooted in sustainability & urban wellbeing
🎓 What We Learned
- Climate challenges need community + technology collaboration
- AI + geospatial tools can support smart green-city planning
- Small citizen-led actions can scale to big impact
- Inspiration grows from local problems and lived experience
🚀 What's Next
- Build MVP with map + user-driven spot marking
- Develop AI model for greening-potential detection
- Partner with student eco-clubs & NGOs for pilot launches
- Add gamification + rewards for participation
- Scale across Indian metros starting with Delhi
Long-term vision:
Enable anyone to green any space. Make cities cooler, cleaner, and nature-positive — one small patch at a time.
Built With
- aws/gcp
- firebase
- google-earth-engine
- google-maps
- mapbox
- mongodb
- next.js
- node.js
- openstreetmap
- pytorch
- react-native
- tensorflow
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