In the context of envisioning the future of computing, it is imperative to transcend the mere consideration of user-device interaction. A comprehensive understanding and collaborative development of technology necessitates the consideration of this perspective, as it highlights the interconnectedness between users and technology within a broader framework encompassing physical, digital, and social dimensions. The primary objective of this project is to investigate a novel software framework that augments the interaction between humans and computers. This research endeavor presents a highly efficient and advanced Multi Modal biometric recognition system, utilizing Human-Computer Interaction to investigate the mechanisms behind the interaction between humans and computer systems. In addition to the user interface, this encompasses the procedures that constitute these interactions. The system under consideration achieved an accuracy rate of 99.21%, a precision rate of 98.24%, a recall rate of 98.87%, and an F-Score of 98.55%. Based on the findings of this study, it can be concluded that the current biometric methodologies employed exhibit a higher degree of suitability and has the capability to mitigate the system’s elasticity.