Automated Damage Assessment and Mapping for Rapid Response Planning in Natural Disasters

This Omdena Local Chapter Challenge runs for 8 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 Milton Keynes, England Chapter.
The problem
Automated damage assessment and mapping for rapid response planning: AI-powered drones and cameras could quickly survey the affected area to create high-resolution maps that show the extent of the damage. This information could be used to prioritize response efforts, such as search and rescue missions, and to develop effective recovery plans.
The goals
- Identify people in the affected area especially before the support team arrives at the location.
- Identify nearby locations which can be used to camp and have clear transportation access.
- Shortest route optimization to reach from A to B.
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.
First Omdena Local Chapter Challenge?
Beginner-friendly, but also welcomes experts
Education-focused
Open-source
Duration: 4 to 8 weeks
Your Benefits
Address a significant real-world problem with your skills
Build your project portfolio
Access paid projects (as an Omdena Top Talent)
Get hired at top organizations
Requirements
Good English
Suitable for AI/ Data Science beginners but also more senior collaborators
Learning mindset
Application Form



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