This Deep Learning Web Application utilizes a Convolutional Neural Network to process the person Images and predict if their Mask is ON/OFF accuracy of nearly 98%. Here this model is made by a pretrained model VGG16.

As Social Distancing is only tool to prevent COVID-19 wearing face masks is compulsory. To monitor the mass no of people whether they wear a mask or not I came up with a solution using deep learning Here I can used Convulutional Nueral Networks(CNN) to predict whether the person is wearing the mask or not . I took the person images with and with_out masks through web scraping and started working on it. the dataset consists of nearly 2000.

Our Model performs fairly well with an accuracy of 98% and an F1 Score of 97%. This provides a handy tool to utilize the power of Machine Learning and Artificial Intelligence in Binary Classification Problems where time and accuracy is the paramount objective of classification.

• Flask
• HTML
• CSS
• Bootstrap
• Tensorflow
• Keras

1. Drop a ⭐ on the Github Repository.
2. Clone the Repo by going to your local Git Client and pushing in the command:

https://github.com/ksdkamesh99/Face-Mask-Detection.git

3. Install the Packages:

pip install -r requirements.txt

4. At last, push in the command:

python app.py

5. Go to http://127.0.0.1:5000/ and enjoy the application.

6. Examples are provided in the directory You can try using them.

7. Some screenshots of the application are mentioned Below.

1. Home Page.
   

2. About Page.
   

3. Predictions Page/Result Page.

   i. Narendra Modi With Mask.
   ii. Donald Trump without Mask.
   

1 . To convert the application to asyncronous way by using ajax call.
2 . To deploy the application in AWS/GCP Platform for beter reach.

For any kind of suggesstions/ help in model code Please mail me at [email protected].

MIT