ISSN (Online) : 2456 - 0774

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ISSN (Online) 2456 - 0774



Abstract: we are creating a system that recognizes students’ emotions from their faces by inputting the images of the studentor by capturing their live images. This system can recognize up to seven types of human facial expressions. Obtained resultsor emotion of the students show the mood-based interests and their concentration on studies, through these teachers caneasily modify their presentation or their teaching Techniques according to the student’s emotions. The huge form ofexpressions proven with the aid of using humans and the range in facial functions of various humans will now no longerresource with inside the system of developing with a gadget this is particular in nature. Hence growing a dependable gadgetwith none flaws confirmed with the aid of using the prevailing structures is a difficult task. This paper goals to construct agreater gadget which could analyses the precise facial features of a consumer at that unique time and generate thecorresponding emotion.

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