Call Guard – Scam Call Detector Using Voice Analysis

This project presents a desktop-based Call Guard -Scam Call Detection System developed to help users identify potentially fraudulent phone calls.In recent years, phone scams have become more common and many people fall victim to them without realizing the risk.The proposed system focuses on analysing voice recordings to understand whether a conversation shows signs of scam-related behaviour.Recorded call audio is taken as input and examined using simple speech and pattern analysis methods.The system looks for certain words or communication patterns that are often used in scam calls.Based on this analysis, a scam probability score is generated to indicate the possible risk of the call.If the score is high, the system alerts the user that the call may be suspicious.The current prototype works with recorded voice samples to demonstrate how voice-based scam detection can function.The application is implemented as a desktop prototype to study the feasibility of the idea.Although real-time analysis during ongoing calls is not implemented in this version, the system shows how such a concept could be developed in the future.This approach aims to improve user awareness and help reduce the chances of falling victim to phone scams.