Solux is an AI-powered geospatial screening platform for solar and solar-plus-storage development in India and the United States. Solar developers often waste time and capital evaluating sites that later fail because of land-use conflict, poor grid or road access, terrain issues, missing water feasibility evidence, environmental risk, or weak project economics. Solux helps solve this by turning a natural-language project request into an evidence-backed site-screening workflow. A user can ask something like: “Find the best sites for a 100 MW solar plus 50 MW battery project in Rajasthan and Gujarat. Avoid dense vegetation, steep slopes, and areas far from roads or transmission.” Solux parses the request, validates that the region is supported, retrieves real candidate locations from our prepared USA/India dataset, enriches each candidate with geospatial and solar evidence, runs deterministic scoring and model-assisted reranking, and returns the top 10 locations with names, addresses/localities, coordinates, confidence, source warnings, and GO / INVESTIGATE / KILL decisions. The product is not a generic map dashboard. It is a decision system for early-stage solar fatal-flaw screening. Solux shows which sites look promising, which need further diligence, and which should be rejected before developers spend money on land control, interconnection, permitting, or engineering. The frontend uses a 3D Earth command-center interface where only India and the United States are supported. Unsupported regions are explicitly rejected instead of producing fake results. Every project is saved separately, every query creates a traceable run, every recommendation is tied to evidence, and missing data lowers confidence instead of being hidden.
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