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A hybrid log classification system that utilizes a multi-layered approach with BERT embeddings and machine learning models. It includes a FastAPI backend for automated classification via CSV uploads and is performance-tested with Locust to handle atleast 25 concurrent users.
Fraud detection in the credit card applications is done with the hybrid classification of Self-Organizing-Maps and Artificial-Neural-Networks to achieve better accuracy than the conventional method