The North Eastern Region (NER) faces major logistics and accessibility challenges due to difficult terrain, extreme weather conditions, limited transport connectivity, and frequent road disruptions caused by landslides, floods, and infrastructure gaps. Transportation of essential goods such as medicines, food supplies, construction materials, and agricultural produce to remote districts often gets delayed, leading to supply shortages, increased costs, and disruption in public service delivery. C
This problem statement seeks the to build an Al-powered Smart and in Logistics Accessibility Intelligence Platform for the North Eastern Region (NER) to address challenges related to difficult terrain,...
Transportation of essential goods such as medicines, food supplies, construction materials, and agricultural produce to remote districts often gets delayed, leading to supply shortages, increased...
This problem statement seeks the to build an Al-powered Smart and in Logistics Accessibility Intelligence Platform for the North Eastern Region (NER) to address challenges related to difficult terrain, weather-induced disruptions, and limited transport connectivity remote areas. The system should use Artificial Intelligence (Al), Machine Learning (ML), GIS mapping, weather data, and real-time field inputs to monitor transportation networks and improve movement of essential goods and services across the region. The system should: a. Monitoring real-time road, bridge, and transport accessibility across districts and remote locations b. Predicting possible route disruptions caused by landslides, floods, heavy rainfall, road damage, or traffic congestion c. Providing Al-based alterna