Ministry of Coal
Browse and strategize across all 3 official problem statements submitted by Ministry of Coal for Smart India Hackathon 2026.
Problem Statements (3)
Match My TeamAI-Powered Geological, Mining and other Reporting Solution for CMPDI/CIL subsidiaries
CMPDI and Coal India subsidiaries spend hundreds of manual hours extracting geological borehole data, stripping ratios, and coal production figures from scattered PDFs, legacy spreadsheets, and handwritten field archives to answer high-priority parliamentary questions and statutory inquiries. Build an enterprise Retrieval-Augmented Generation (RAG) and document AI platform combining domain-specific OCR, tabular data extraction, and a deterministic Q&A verification engine.
AI-Based Smart Governance and Compliance Monitoring System for Coal Mines
Coal India subsidiaries manage safety inspections, DGMS statutory compliance, environmental clearances, and contractor worker attendance across hundreds of open-cast and underground mines using disconnected spreadsheets and delayed paperwork. Build a centralized AI smart governance and compliance monitoring platform with mobile geotagged field inspection logging, automated statutory deadline escalation, and predictive violation heatmaps.
Development of an AI-enabled Low Cost Real Time Mine Subsidence Monitoring, Prediction and Early Warning System for Underground Coal Mines in India
Underground coal mining causes unexpected surface ground subsidence, damaging roads, railway tracks, and rural villages located above active extraction panels. Build an indigenous, low-cost real-time subsidence monitoring platform using a wireless surface mesh sensor network (ESP32 + LoRa/Zigbee) measuring ground tilt, extensometer displacement, and micro-vibrations to forecast ground collapse before catastrophic failure.