Unified analytics linking SEBI BRSR disclosures with national & global climate indicators—powered by Retrieval-Augmented Generation (RAG) for search, extraction, and auto-generated visuals.
Climate indicators (GHG inventories, energy mix, adaptation readiness) and corporate sustainability disclosures (SEBI's BRSR) live in silos. Policymakers, researchers, and industry leaders lack a single pane of glass to correlate company-level KPIs with national/sectoral climate context—slowing compliance tracking, benchmarking, and decarbonization planning.
End-to-end pipeline from data ingestion to interactive visualization
Align corporate KPIs (e.g., Scope-1/2/3, water) with national energy/climate context.
Compare companies vs domestic peers, global rivals, and sector baselines.
Ask "Top 5 auto OEMs by water consumption in 2024?" and get a chart + cited facts.
The RAG agent retrieves relevant BRSR/climate facts from the integrated store, then composes answers grounded in those facts—reducing hallucinations and dynamically generating visuals (Matplotlib/Plotly) when needed.
Grounded reasoning with dynamic visualization
Chosen for energy intensity, complex supply chains, fleet-emissions regulation.
Minerals, Textiles, Petrochemicals, Cement, etc. (architecture is sector-agnostic).
Heavy-duty trucks are the largest contributors despite lower counts; inventory built from VAHAN registrations using COPERT Tier-3 emission factors tuned to Indian conditions.
BEVs have higher production emissions (battery) but lower lifetime emissions; advantage increases as India's grid decarbonizes (e.g., ~943 → ~660 gCO₂/kWh by ~2030).
Work done at CSIR-IIP (Climate Change & Data Science), with guidance from Dr. Tuhin Suvra Khan and Dr. Sunil Pathak; authored by Prateek Saxena (BITS Pilani).