Reducing Flood Risks in Belgrade Area Through AI Solutions
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 the Omdena Belgrade, Serbia Chapter.
The problem
Even though the government made some effort to improve the protection from floods, there are still areas, which are not protected. Such areas depend on the right time action of the local community, to set up mobile fortifications in vulnerable places.
With our project, we can provide an AI predictive system, which can give a possibility for floods, based on the current levels of the water, precipitation, and other parameters. For the training, we’ll use historical hydrometeorology data, focusing on time fragments of recent floods in the last 100 years.
With such a solution, the preparedness of the local community for potential floods will be on a high level, which means less devastation.
The goals
The main goal should be the creation of a supervised ML model, based on historical weather and hydrological data for Danube, Sava, and other small rivers in Belgrade area, which will bring a prediction of possible floods in the future. It can be later integrated into the web and mobile app.
- Datasets with historical hydrological data.
- Machine learning process.
- API for a predictive service for floods.
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
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