Fraud Detection System Using Facial Recognition Based On Google Teachable Machine for Banking Applications

Abstract

Security is major concern for any system. The scammer continually tries to obtain the user's account information by applying different tricks to perform fraud that cost the banking system and user huge loss. Machine learning based techniques are most extensively being used to avoid this risk. Face recognition based systems are not sufficient especially in banking sectors. Teachable Machine is a webbased tool that makes building machine learning models fast, easy, and accessible to everyone. So in order to stop those fraudulent we should need powerful fraud detection method or system by which detect fraud .We have proposed a only method by using face recognition features along with face recognition systems to boot the security level of the society against the fraudsters. It is using the features of face recognition and face recognition authentication which makes the transaction more secure as compared to the traditional payment.