• Mrs. S. Deepika
• H.Sneha

The COVID19 situation has made online examination as the primary part in education throughout the world. There are different parameters of remote proctoring such as audio proctoring, video proctoring, image proctoring, monitoring screen of the end-user attempting the online exam. With the help of all these mechanisms, can securely conduct and Online Exam, that too under a controlled and cheat-free environment. In this Project, the tool used is Python to test out the scikit-learn library since it is the industry standard for scientific tasks like regression. The Jupyter Notebook allows most anyone to run this code by own, we need to have scikit-learn, NumPy, matplotlib, Seaborn, Itertools, and imblearn installed and the dataset are imported on machine for virtual environment.The objective used in the process is. Facial recognization – when we appears to exam hall, they have been scanned all the student’s face id. So they can easily identify and recognise the students facial fraudulent works.

Face Recognization, Machine Learning, Logistics Regression.

"FACIAL RECOGNITION ONLINE EXAMINATION ALONG MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.86-89, April-2021, Available :http://www.jetir.org/papers/JETIRER06022.pdf

"FACIAL RECOGNITION ONLINE EXAMINATION ALONG MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp86-89, April-2021, Available at : http://www.jetir.org/papers/JETIRER06022.pdf