Published Paper Details:

In order to facilitate intuitive and touchless control of brightness and volume, this article focuses on the creative application of hand gesture recognition and emotion detection through facial recognition. The technology uses machine learning algorithms and sophisticated computer vision techniques to identify particular hand motions and dynamically change the screen's brightness and audio levels, offering a practical and effective substitute for conventional physical controls. Furthermore, by analyzing facial expressions and adjusting environmental settings--such as turning down the lights or volume when melancholy is detected or turning up the brightness and volume for happy moods--the system's incorporation of emotion recognition enables it to customize the user experience. The hands-free interface provided by this initiative, which emphasizes inclusivity and accessibility, can help people with disabilities or those in sterile settings where touchless contact is crucial. Through adaptive brightness adjustments, the technology optimizes energy utilization and further advances sustainability. In addition to improving user comfort and interaction, this study shows the potential for human-centric smart automation by fusing gesture recognition and emotional intelligence. This could lead to applications in home automation, healthcare, education, and entertainment.