Ministry of Steel
Browse and strategize across all 4 official problem statements submitted by Ministry of Steel for Smart India Hackathon 2026.
Problem Statements (4)
Match My TeamDevelopment of an Intelligent Freight Forecasting Model for Optimized Vessel Chartering and Bulk Cargo Procurement from overseas to East Coast of India
SAIL relies on volatile daily spot market chartering to import bulk coking coal from Australia, the US, and Mozambique to East Coast Indian ports, resulting in costly freight premiums and vessel demurrage. Build an AI freight rate forecasting and chartering optimizer that models international Baltic indices, trade lane dynamics, and Indian port draft/LOA constraints to recommend optimal short/mid-term contract entry windows.
Safe and Efficient Operation of Mine Vehicles in Fog and Low-Visibility Conditions in Open Cast Iron Ore Mines.
Monsoon fog at NMDC's Bailadila iron ore mines reduces haul road visibility to 3-5 meters, causing heavy dumpers to halt operations and costing millions in lost ore production. Build an edge-AI collision avoidance and situational awareness platform that fuses thermal imaging, LiDAR/radar proximity telemetry, and high-precision GPS haul road digital twin mapping.
Belt Joint Rupture and Conveyor Belt Damages in Iron Ore Mining Industry: Intelligent Monitoring and Prediction of Conveyor Belt Joint Rupture and Damages in Iron Ore Mining Industry.
Continuous iron ore conveyor belts at NMDC mines suffer sudden joint splice ruptures and belt tears from heavy loads and abrasive dust, causing catastrophic production halts and safety hazards. Build an IoT and AI predictive maintenance system that analyzes high-speed vision camera feeds, thermal splice temperatures, and acoustic vibration telemetry to detect micro-cracks before splice failure occurs.
Using AI/ML and Space Technology to Identify Manganese Reserves and Overcome Production Shortfalls.
MOIL Ltd. relies on time-consuming manual core-drilling logs and historical records to estimate manganese reserves and schedule mine production, leading to unexpected tonnage shortfalls. Build an AI/ML space-assisted mining dashboard integrating satellite multispectral surface indices (vegetation anomaly, land surface temperature, soil moisture) with geological borehole data to map underground manganese ore veins and predict production bottlenecks.