AI-Based Flood Susceptibility Mapping and Prediction Using Remote Sensing

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Sylhet, Bangladesh Chapter.

The problem

Flood is a common natural hazard in Bangladesh. Sylhet is surrounded on the north by Meghalaya because it is situated on the northeastern edge of Bangladesh. A vast population experiences flooding every year as a result of the severe rains, and in some situations, property and crop production are also harmed. With the aid of our AI technology, it will be simpler to identify flooded areas during a disaster and to establish appropriate damage assessments and relief plans.

The goals

• Identifying potential flood hazard zones.
• Flood extent mapping during the disaster.
• Predicting flood direction during the disaster.
• Possible relief plan from damage assessment.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level. A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment. And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work