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ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to empower your journey towards improved well-being, leveraging technology for a brighter tomorrow.
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Credit Card Fraud Detection Using Machine Learning #229

Open vishuhere opened 5 months ago

vishuhere commented 5 months ago

Is there an existing issue for this?

Feature Description

Credit card fraud is a significant issue that affects both consumers and financial institutions. The objective of this project is to develop a robust machine learning model to detect fraudulent transactions accurately. The project involves several key tasks: sourcing and preprocessing a suitable dataset, performing exploratory data analysis to understand data patterns, selecting and engineering relevant features, and training multiple machine learning models to identify the best performer. The best model will then be implemented in a scalable and deployable solution, capable of handling real-time transaction data. Additionally, the model will be validated using a separate dataset or real-world data to ensure its robustness and reliability. Throughout the project, we will consider best practices for handling imbalanced datasets, explore machine learning algorithms known for high performance in fraud detection, and ensure the system's scalability and efficiency in production.

Use Case

It will involve real-time analysis to identify suspicious transactions, anomaly detection to find unusual spending patterns, customer behavior analysis to flag deviations, risk scoring for transaction risk assessment, and prevention of fraudulent activities through predictive models. These systems enhance security, reduce financial losses, and improve customer trust.

Benefits

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Priority

High

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malhotramoulie commented 5 months ago

Hi I would like to work on this Can u pls assign me this task