• PRAJAKTA BHARAT PATIL
• Dr.RUPALI J.SHELKE

The Covid-19 outbreak has turned into a global issue in the medical field. This virus spreads from person to person through the droplets of infected individuals. Public areas have the highest transmission risk, according to the WHO using a face mask is one of the greatest strategies to prevent infection. Lockdowns had to be implemented by governments all around the world and face masks are made compulsory as prevention purpose in reaction to the Covid-19 outbreak.The method that is suggested in this study uses Convolutional neural network algorithm for face mask detection. Libraries such as the TensorFlow, OpenCV and Keras are being used. The trained model applied in this research generates an accuracy score of 0.94 and with F1 score of 0.95 in the training set. For future developments, this approachable model can be combined with a number of already-available technologies, including face detection, facial expression recognition and biometric authentication.

Machine Learning, CNN algorithm, Face mask detection, TensorFlow, Covid-19

"SMART FACE MASK DETECTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.b711-b716, December-2022, Available :http://www.jetir.org/papers/JETIR2212179.pdf

"SMART FACE MASK DETECTION USING CONVOLUTIONAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppb711-b716, December-2022, Available at : http://www.jetir.org/papers/JETIR2212179.pdf