• Pavan K
• Chethana C
• Muktha H
• BVS Sree Varsha
• Dr Manohar P

Human emotions can be inferred from facial expressions, which are a type of nonverbal communication. One piece of technology for assessing emotions is called facial emotion recognition. Three steps compose FER analysis: face detection, facial expression detection, and expression classification to an emotional state are the first three steps. By evaluating facial traits like eyebrows, eyes, mouths, and other features and mapping them to a set of emotions like anger, fear, surprise, sadness, and happiness, the aim is to automate the process of determining emotions. The goal of the state-of-the-art machine learning project "Emotion Recognition (ER) from Facial Expression (FE)" is to improve emotion analysis technologies by precisely recognizing and classifying human emotions from facial expressions.

"IMPLEMENTATION PAPER ON EMOTION RECOGNITION FROM FACIAL EXPRESSIONS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.d432-d436, May-2024, Available :http://www.jetir.org/papers/JETIR2405347.pdf

"IMPLEMENTATION PAPER ON EMOTION RECOGNITION FROM FACIAL EXPRESSIONS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppd432-d436, May-2024, Available at : http://www.jetir.org/papers/JETIR2405347.pdf