Leveraging deep CNNs for accurate facial emotion recognition and analysis

P, Chiranjeevi and Kalluri, Nagalaxmi and Gurubhagavatula, Sai Saket and Kuncham, Abhishek and Sami, Mohammed (2025) Leveraging deep CNNs for accurate facial emotion recognition and analysis. World Journal of Advanced Research and Reviews, 25 (2). pp. 204-212. ISSN 2581-9615

Facial Emotion Detection is imaginative and prescient and device mastering; it determines human emotions based totally on facial expressions, thereby the distance among emotional intelligence from a human and synthetic intelligence allowing natural human-gadget interactions. Spotting feelings efficiently is a need for scientific, educational, advertising and marketing, leisure, and human useful resource control fields. Enhancements in such structures might be completed on this challenge based on their obstacles and creation to capabilities to cater feelings together with disgust, wonder, and neutrality, supplying emotional insights for the adaptive mastering or intellectual fitness tracking applications. The system enables simultaneous analyses of several humans within the frame as it can efficiently deal with multi-face detection as pertinent to some organization situations-which includes lecture rooms, conferences, or social gatherings- and gives a closing self-belief score to every prediction growing reliability and trustworthiness.