• Ruchi Chandragupt Patle
• Saloni Anil Bhivgade
• Prajwal Jogeshwar Bawane
• Avantika Ravindra Mahajanwar
• Tanushree Digamber Awachat

This paper portrays a feeling location framework based on real-time location utilizing picture preparing with human-friendly machine interaction. Facial discovery has been around for decades. Taking a step ahead, Human expressions shown by confront and felt by the brain captured through video, electric flag, or picture frame can be approximated. To recognize feelings by means of pictures or recordings could be a troublesome assignment for the human eye and challenging for machines in this way location of feeling by a machine requires numerous picture handling strategies for highlight extraction. This paper proposes a framework that has two fundamental forms such as confront location and Facial expression acknowledgment (FER). This investigates centres on a test ponder on recognizing facial feelings. The stream for a feeling location framework incorporates the picture procurement, preprocessing of a picture, confront discovery, include extraction, and classification. To distinguish such feelings, the feeling location framework employments KNN Classifier for picture classification, and Haar cascade calculation a Protest Discovery Calculation to recognize faces in a picture or a real-time video. This framework works by taking live pictures from the webcam. The objective of this inquire about is to create a programmed facial feeling discovery framework to distinguish distinctive feelings based on these tests the framework may recognize a few individuals that are pitiful, astounded, and cheerful, in fear, are irate, appall etc.

Emotion Detection, Haar Cascade, KNN, Face Detection, Machine Learning.

"Emotion Detection Using Image Processing by Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.a532-a537, July-2025, Available :http://www.jetir.org/papers/JETIR2507057.pdf

"Emotion Detection Using Image Processing by Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppa532-a537, July-2025, Available at : http://www.jetir.org/papers/JETIR2507057.pdf