Geo-Tagging Nigerian License Plates Using Python and Computer Vision Through Machine Learning
Challenge Completed!
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.
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
This challenge is hosted with our friends at
