Inspiration:
Schools often focus on visible sustainability metrics like electricity and water bills, while many environmental impacts remain hidden. We wanted to create a solution that helps schools uncover these hidden footprints and identify practical opportunities for improvement.
What it does:
EcoLens AI transforms basic school information into sustainability intelligence. Using inputs such as student population, campus area, transportation methods, water usage, waste management, and green cover, it generates:
Hidden Footprint Analysis Sustainability Benchmarking Climate Risk Assessment Strategic Sustainability Roadmaps UN SDG-Mapped Recommendations Impact Forecasting & Simulation Sustainability Achievement Tracking Administrative Executive Reports
How we built it
We built EcoLens AI using React, JavaScript, and Vite. The platform combines sustainability scoring models, climate analysis, benchmarking frameworks, and AI-assisted insight generation to convert school data into actionable recommendations.
Challenges we ran into
One of our biggest challenges was generating meaningful sustainability insights without access to large-scale environmental datasets or real-time infrastructure data. We also worked to ensure that the platform remained easy to understand and useful for non-technical users.
Accomplishments that we're proud of
Built a complete sustainability intelligence platform rather than a simple carbon calculator. Created a Hidden Footprint Detection system tailored for schools. Developed benchmarking, climate risk analysis, impact simulation, and roadmap generation in a single workflow. Designed clear, actionable outputs that help administrators make informed sustainability decisions.
What we learned
Through this project, we learned how climate, transportation, infrastructure, water usage, and waste management interact to shape a school's environmental footprint. We also gained valuable experience building explainable AI systems for sustainability decision-making.
What's next for EcoLens-AI
Our next goal is to integrate real-time weather and environmental APIs, improve benchmarking using larger datasets, enhance AI-powered recommendations, and enable schools to track sustainability progress continuously through live dashboards and reporting.
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