Nexus

Inspiration

Inspiration Urban areas across the globe are overheating. Asphalt roads and dark rooftops absorb immense thermal energy, causing the Urban Heat Island (UHI) effect, where cities sit up to 10°C hotter than surrounding rural areas. This extreme localized heat spikes HVAC energy consumption, accelerates carbon emissions, and presents serious health risks to vulnerable communities.

While green infrastructure—like reflective surfaces and green roofs—can dramatically cool these environments, city planners and property managers lack accessible, predictive tools to evaluate where interventions will yield the highest return on investment (ROI). We built EcoPulse AI to bridge the gap between complex climate data and rapid urban planning.

What it does EcoPulse AI is an interactive urban thermal management dashboard that identifies local heat traps and simulates real-time green infrastructure solutions:

Thermal Zone Profiling: Pinpoints urban micro-climates, displaying ambient surface temperatures and calculated variance against rural baselines.

Interactive ROI & Climate Simulator: Allows city managers to adjust green roof coverage ratios via real-time sliders, dynamically modeling immediate drops in ambient temperature (-0.08°C per 1% coverage), annual HVAC energy cost savings, and metric tons of offset carbon.

AI Policy Engine: Translates complex thermal metrics into instant, actionable policy recommendations and break-even timelines for local governments.

How we built it We developed EcoPulse AI during the 48 hours of NextStep Hacks 2026 using a modern, lightweight web architecture:

Front-End UI: Built with React and styled using Tailwind CSS for a sleek, dark-mode visual hierarchy designed for fast data scanning.

Design & Icons: Powered by Lucide React to create intuitive status indicators, risk warnings, and system metrics.

Simulation Engine: Written in pure JavaScript state handlers to deliver instant sub-millisecond calculation updates as users adjust intervention variables.

AI Integration: Powered by an LLM backend prompt pipeline that consumes surface temperature data and financial models to spit out localized urban planning briefs.

Challenges we ran into Balancing Realism with Speed: Modeling heat island dissipation typically requires heavy thermal fluid dynamics computations. We worked through several mathematical approximations to deliver statistically realistic temperature drop projections without causing UI lag during real-time slider updates.

Data Presentation: Distilling complex climate variables (HVAC load, carbon capture metrics, thermal anomalies) into an intuitive, uncluttered UI required multiple complete layout iterations during the hackathon.

Accomplishments that we're proud of Sub-Second Responsiveness: Engineered a seamless interactive simulator that recalculates temperature drops, energy savings, and carbon offsets instantaneously.

High Visual Clarity: Built a dashboard that looks like a professional enterprise tool, ensuring judges can immediately understand the problem and test the solution without onboarding friction.

Actionable Climate Impact: Successfully turned abstract satellite thermal data into clear monetary and environmental metrics that decision-makers can act on.

What we learned Micro-Climate Complexity: We gained deep insight into how urban heat dynamics scale non-linearly and how even small green coverage interventions (30–40%) can prevent systemic HVAC grid overload during heat waves.

Rapid Prototyping: We honed our skills in rapidly structuring React state to handle multi-variable predictive modeling under a tight 48-hour deadline.

What's next for EcoPulse Live GIS & Satellite Integration: Map real-time thermal imagery via the NASA Landsat and ESA Sentinel-2 APIs directly onto interactive Mapbox GL layers.

Multi-Intervention Support: Expand the simulation engine beyond green roofs to model cool pavements, urban tree canopy expansions, and solar reflective coatings.

Automated Grant Writing: Add an AI feature that auto-generates municipal grant applications and sustainability funding proposals based on simulated ROI metrics.