I feel Omdena is the stepping stone to discover the true potential of AI.
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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.
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 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.
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.
Beginner-friendly, but also welcomes experts
Education-focused
Open-source
Duration: 4 to 8 weeks
I feel Omdena is the stepping stone to discover the true potential of AI.
After all this mind-blowing experience, I feel much closer to the person I wanted to be for a very long time: a technology change maker.
I have learned so much in several domains including data mining, AI, ML, transfer learning, NLP.
Working in a collaborative project helped greatly in boosting my data science confidence.
After the Omdena project, I see that career adaptation was a necessary thing in today’s trends.
Collaboration across continents, time zones, and perspectives, especially on a social science-linked challenge was mind-opening.
Joining Omdena was an important career milestone. A unique way of learning and contributing to social good.
Collaborative AI enables robust AI solutions through sharing knowledge, perspectives, and promoting diversity and inclusion.
The community made me feel a sense of freedom and provided a non-judgmental environment where I was enabled to help others.