Keywords: Credit, Card
The project centers on employing deep learning techniques to detect credit card fraud using transaction data. By analyzing transaction patterns and behaviors, it aims to develop a model capable of accurately identifying fraudulent transactions. This proactive approach could enhance financial security, minimize losses, and protect consumers. The project underscores the significance of using DL methods to address modern security challenges and safeguarding financial systems through advanced fraud detection technologies.
Aim
To detect the Credit Card Fraud Using DL Techniques
Objective
Build deep learning model for credit card fraud detection.
Train model with transaction data for accurate classification. Validate model's efficacy to enhance credit card security through DL methods.
ANN Technique used
Jupyter, Google Collab
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