Credit Card Fraud Detection Using 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 Münich, Germany Chapter.
The problem
The objective of the project is to develop an AI-based credit card fraud detection system that can accurately identify and prevent fraudulent transactions in real time, thereby reducing financial losses and ensuring the security of credit card users and financial institutions.
The goals
- Develop and implement an advanced AI model for credit card fraud detection using machine learning techniques, such as deep learning or ensemble methods.
- Train the AI model on a comprehensive dataset of labeled credit card transactions, ensuring a balanced representation of both fraudulent and legitimate transactions.
- Optimize the AI model’s performance by achieving a high accuracy rate, aiming for a minimum accuracy score of 95% to effectively detect fraudulent transactions.
- Continuously improve the AI model’s performance by fine-tuning hyperparameters, exploring different feature engineering techniques, and leveraging advanced anomaly detection algorithms.
- Foster a learning challenge around credit card fraud detection, encouraging participants to explore innovative approaches, share insights, and contribute to state-of-the-art in fraud detection research.
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
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