Open Source Projects

  • amarnath3003/Solar-Roof-AI — An interactive solar planning workspace for analyzing rooftops, estimating usable area, and previewing panel layouts. Uses computer vision for rooftop detection and solar irradiance modeling.
  • Daminoup88/WattSeal — Real-time PC power consumption monitor that shows watts per app and per component, tracks carbon footprint and electricity cost. Built with Rust and uses NVML for hardware-level power telemetry.

Today’s Synthesis

Integrating the real‑time hardware telemetry from Daminoup88/WattSeal into the solar planning workflow of amarnath3003/Solar-Roof-AI creates a closed‑loop carbon‑impact dashboard for design iterations. As an engineer, you can attach WattSeal’s NVML‑driven power sampling to the compute cluster that runs the computer‑vision rooftop detection and irradiance modeling. Each simulation run is timestamped with watts‑per‑core and watts‑per‑application, allowing the UI to subtract the equivalent CO₂ emissions (using regional grid intensity) from the projected generation of a given panel layout. This lets designers instantly see how much carbon each layout will offset after accounting for the energy cost of the analysis itself. The combined stack is language‑agnostic—Rust for power monitoring—making it straightforward to pull into an existing CI pipeline or a local development environment. The result is a practical, open‑source prototype that quantifies net carbon savings, turning abstract solar potential into a measurable, engineer‑friendly metric.