A new artificial intelligence (AI)-based scientific application named 'Surf IT' is being developed to provide accurate storm surge forecasts up to three days before cyclones in Bangladesh. The project, currently in its experimental phase, aims to identify potential surge locations, water heights, flooded areas, and vulnerable embankments. It is being implemented under the leadership of the NGO Uttaran, in collaboration with Action Against Hunger and North South University, with technical support from the Bangladesh Meteorological Department, Flood Forecasting and Warning Centre, Water Development Board, and the Department of Disaster Management.
The model, developed with international cooperation and inspired by European Union and US forecasting systems, currently achieves about 92 percent accuracy, with a goal to reach 95–96 percent by December. It also integrates local knowledge to improve prediction of embankment vulnerabilities. The initiative emphasizes women’s leadership in disaster response, as many men from coastal areas work away from home for much of the year.
Officials plan to hand over the technology to the government after testing, enabling its integration into the national disaster forecasting system to strengthen Bangladesh’s coastal resilience.
গাজী শাহনেওয়াজ প্রকাশ : ০৯ জুলাই ২০২৬, ০৯: ১৭ উপকূলীয় মানুষকে জলোচ্ছ্বাস ও বাঁধ ভাঙার মহাদুর্যোগ থেকে রক্ষা করতে আসছে কৃত্রিম বুদ্ধিমত্তা (এআই) প্রযুক্তিনির্ভর বৈজ্ঞানিক অ্যাপস ‘সার্ফ আইটি’। প্রাথমিক পর্যায়ের এই প্রযুক্তিটি তিন দিন আগেই নিখুঁত পূর্
The ‘1 Nojor’ media platform is now live in beta, inviting users to explore and provide feedback as we continue to refine the experience.
