D. NIKHITHA SRI, P. CHANDANA, N. JAHNAVI, RESHMA SULTANA, Dr.S.M.ROY CHOUDRI 03 4 COVID19 pandemic has rapidly affected our daytoday life disrupting the world trade and movements Wearing a protective face mask has become a new normal In the near future many public service providers will ask the customers to wear masks correctly to avail of their services Thereforeface mask detection has become a crucial task to help global society This paper presents a simplifiedapproach to achieve this purpose using some basic Machine Learning packages like Tensor FlowKeras OpenCV and ScikitLearn The proposed method detects the face from the image correctly and then identifies if it has a mask on it or not As a surveillance task performer it can also detect a face along with a mask in motion The method attains accuracy up to 9577 and 9458 respectively on two different datasets We explore optimized values of parameters using the Sequential Convolutional Neural Network model to detect the presence of masks correctly without causing overfitting Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026