GRID | Devpost

Inspiration

We were inspired by a 2036-scale problem: AI and data centres are growing faster than local grid capacity, so we need better ways to plan demand, generation, and infrastructure together.

What it does

GRID is a geospatial digital simulator that shows substation stress over time, lets users place proposed data centres and wind farms, simulates grid impact, and generates a viability report with sustainability-focused metrics.

How we built it

We built a CesiumJS frontend for 3D grid visualization and scenario placement, a Python/Flask backend for APIs, and a scoring/report engine that processes 7-day grid data, computes performance metrics, and produces PDF outputs.

Challenges we ran into

Data quality and alignment were hard: matching substation names/locations, handling inconsistent time-series data, and balancing model realism with hackathon speed and usability.

Accomplishments that we're proud of

We delivered an end-to-end working prototype: real data ingestion, interactive what-if simulation, clear viability statuses, renewable offset modeling, and automated evidence-backed reporting.

What we learned

We learned that sustainability decisions need both strong technical modeling and clear communication. A transparent tool that planners can trust is as important as algorithm accuracy.

What's next for GRID

Next, we plan to improve forecasting and weather-linked renewable modeling, add deeper power-flow constraints, support more regions, and build collaboration features for planners, operators, and policymakers.