In this project, we propose to develop an application designed to handle large financial transactions between accounts with the goal of reducing fraud. The application will eliminate the need for traditional OTP and call verification systems, replacing them with a more secure facial recognition system. Users will begin by logging into the application using their unique ID and password. Once logged in, they will enter the transaction details, including the amount to be transferred and the recipient’s account information. For verification, the application will utilize the device's live camera to recognize the user's face and match it against the database. If the facial recognition system confirms the user's identity, the transaction will proceed. If the face does not match, the transaction will be declined, and the user will be redirected to the homepage. This method aims to enhance security and streamline the transaction process by ensuring that only authorized individuals can complete large financial transactions.