Automated Fraudulent Phone Call Recognition Through Deep Learning

Project Synopsis & Overview

This project develops an automated fraudulent phone call recognition system using deep learning and Call Detail Records (CDR). It analyzes phone number characteristics and calling behavior, including call frequency, duration, timing, and international call patterns. Deep learning models automatically extract relevant features and classify calls as fraudulent or legitimate, improving detection accuracy and adaptability to evolving telephone fraud patterns in real-world environments.

Complete Technical Specifications