Secured Home Automation with Voice Recognition Using ML and IoT Devices

In home, We utilize Gaussian Mixture Model to train voice recognition, and subsequently implement it in Internet of Things devices. We utilize these machine learning frameworks to enhance the precision, adaptability, and robustness of the system in order to mitigate security breaches. Hence, the main objective of the study is to develop a secure authentication system that is on one hand is more precise and on its other is user-friendly, with speech recognition playing a significant role to develop a next level home automation technologies.