Face-Mask-Detection

📌 Introduction

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.

🎯 Purpose of the Project

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.

🏁 Technology Stack

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

🏃‍♂️ Local Installation

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/aryan1010/GFG-Hackathon-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.

📜 Screenshots

1. Home Page.
   

2. About Page.
   

3. Predictions Page/Result Page.

   i. Girl With Mask.
   

4. Live Mask Detection

Future Work to do:-

1 . To deploy the application in GCP Platform for beter reach.