Mapping Multi-Hazard Risk Areas and Identifying Optimal Response Routes
Challenge Started!

This Omdena Local Chapter Challenge runs for 6 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 Gurugram, India Chapter.
The problem
Gurugram is an industrial city with a lot of factories and industries, which puts it at a higher risk for events like fires and crime.
Gurugram also has trouble with waterlogging during heavy rain, which causes flooding and disrupts daily life. We can come up with ideas like better drainage and using technology to monitor the situation and keep people informed about what’s happening.
We can develop effective strategies to mitigate these problems, including the suggestion for improved drainage infrastructure and real-time monitoring systems, which also serve community awareness initiatives.
The goals
The project goals are:
- Research study on the history of these types of events in Gurugram.
- Identify and map high-risk areas.
- Develop targeted response strategies.
- Further goals can be defined later on.
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



