Researchers at IIT Roorkee have built an AI-based system to map and predict flood risks in Bihar’s flood-prone Kosi Megafan area.
The system uses satellite data and explainable AI to guide better planning and disaster response.

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• Kosi River, known as “Sorrow of Bihar,” causes recurring floods in North Bihar
• IIT Roorkee developed AI model to predict flood-prone areas accurately
• Study focused on the Kosi Megafan, a large sediment-filled, flood-prone region
• AI used 21 environmental factors like rainfall, soil type, and land use
• Explainable AI (XAI) enables transparency in flood predictions
• Maps categorize flood risk from very low to very high for focused response
• 35.18% of the area marked under very high flood susceptibility
• Research aids infrastructure planning, early warnings, and disaster relief
• Uses open-source data, scalable for use in other flood-prone regions
• Study supports climate resilience and sustainable development goals