• Yash Rana
• Dnyanesha Khadse
• Yash Parekh
• Chirag Pongade
• Dipika Mankar

Emotion detection using facial expressions is a prominent application of computer vision and artificial intelligence. This research explores the development of computational methods to recognize and classify human emotions based on the analysis of facial cues. This study presents an overview of the key steps involved in emotion detection, encompassing data collection, facial landmark detection, feature extraction, model training, and real-time applications. Emotion detection from facial expressions finds relevance in a broad spectrum of domains, from human-computer interaction and sentiment analysis to healthcare and market research. Emotion detection from facial expressions is a compelling area of research with widespread applications in human-computer interaction, psychology, marketing, and various domains. This study presents an approach to automatically recognize and analyze emotions from facial images using computer vision and machine learning techniques. Challenges addressed in the project include variations in lighting, pose, and facial expressions, as well as privacy concerns when handling sensitive facial data. The system's real-time performance and model accuracy are of paramount importance and have been meticulously optimized..

"Emotion Detection Using Facial Expression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.g697-g705, April-2024, Available :http://www.jetir.org/papers/JETIR2404687.pdf

"Emotion Detection Using Facial Expression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppg697-g705, April-2024, Available at : http://www.jetir.org/papers/JETIR2404687.pdf