This Omdena Local Chapter Challenge runs for 5 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 Jordan Chapter.

The problem

We would like to find an AI solution to help reduce/mitigate the number of traffic accidents within the country of Jordan.

The project goals

• Analyze Ministry of Transportation datasets for primary causes of traffic accidents.
• Carry out data preprocessing.
• Develop a traditional machine learning or deep learning model to help analyze the potential causes of traffic accidents.
• Carry out inference with the trained model using test data.
• Develop some suggestions on how traffic accidents could be mitigated based on data from the provided datasets.

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