• Mr. Saurav Kalaskar
• Mr. Mohit peshwani
• Mr. Abhishek Odrani
• Mrs. Anjali Yeole

Human emotions are mental states of feelings that arise spontaneously rather than through conscious effort. Some of the critical emotions are happy, sad, anger. Facial expressions play a key role in non-verbalcommunication which appears due to internal feelings of a person that reflects on a person’s face. In this paper, we are trying to predict human emotions using the Convolution Neural Network (CNN). In this algorithm, the FER-2013 dataset has been applied for training. We recognized emotions such as Angry, Disgust, Fear, Happy, Sad, Surprise, and Neutral.

Facial Expression Recognition (FER), Facial Landmarks (FL), Facial Action Units (AU), Facial Action Coding System (FACS).

"Facial Recognition Based Emotion Analysis ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.372-376, October-2021, Available :http://www.jetir.org/papers/JETIRFD06059.pdf

"Facial Recognition Based Emotion Analysis ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. pp372-376, October-2021, Available at : http://www.jetir.org/papers/JETIRFD06059.pdf