SolarIQ – AI-Powered Industrial Rooftop Solar Lead Generation

Industrial rooftop solar adoption is expanding globally and identifying technically and economically but viable rooftops remains a manual, time-consuming and error-prone process. SolarIQ is an AIML and GIS-driven platform designed to automate the end-to-end workflow of industrial rooftop solar lead generation. This system uses satellite imagery and a UNet– based segmentation model for the detection of industrial rooftops and exclude existing solar installations. Furthermore rooftop characterization is performed using PyPVRoof to compute tilt, azimuth, usable surface area and potential installation capacity. Solar energy simulation is carried out using pvlib to estimate annual energy yield, cost savings and CO? emission reduction. To convert technical insights into actionable business leads, SolarIQ integrates automated decision-maker data enrichment using corporate registries and LinkedIn APIs. All the further results are presented through a cloud-deployed dashboard powered by FastAPI, PostgreSQL, PostGIS, Streamlit and React which enables real-time lead management. By integrating rooftop detection, solar estimation and business intelligence into a unified platform, SolarIQ significantly reduces the solar sales cycle and enhances the scalability of industrial solar deployment.