The problem Face Mask Image Detection solves

This can be a beneficial tool in a lot of ways, considering today's situtation where the entire world is facing the problem of a global pandemic: Novel Corona Virus or COVID-19. For health concerns, wearing a mask in public places is a must practice. Hence, this can proove to be a very useful tool to identify people who are not wearing a mask. This model can form the basis of mask detection systems. This way, we'll be able to detect people who are not wearing masks and take requied action. This will result in more people wearing masks which in turn contribute to the fight against COVID-19.

Challenges I ran into

One of the main challenges in this project is accuracy of detection of mask in the image. If we just use logistic regression algorithm we can achiever just 70 percent accuracy. This model uses a deep neural network to improve the accuracy in detection. Deep Neural Network increased the accuracy to 80%. This is a good working accuracy for the model.