Geo-Tagging Nigerian License Plates Using Python and Computer Vision Through Machine Learning

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 Kaduna, Nigeria Chapter.

The problem

With a daily increase in the number of stolen vehicles, this API would provide a platform to track and monitor in real-time geolocations of vehicles. Also as the vehicle registration of inland revenue has quite a number of defaulters, this can also be used to track defaulters when linked to a database.

The goals

Improve the security of motorists enhance tracking in real-time provide a database of vehicle traveling timelines enhance CCTV applications in the state.

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