PyTorch Expert Needed for Application(iOS & Android based)

Face-Mask detector application for Android & IOS
Build with deep learning algorithms
Use deep learning algorithm CNN “Convolutional Neural Network”
Use PyTorch Lightning.
When a person goes in front of the app without any mask on, the app will say “NO MASK”.
When a person goes in front of the app with a mask on, the app will say “With MASK”.
Front end: HTML, CSS
BackEnd: PyTorch
Develop an app that can detect whether a person is wearing a mask or not. This app will use the user
device’s camera to use the visible stream from the camera combined with AI techniques to detect and
generate an alert for people not wearing face masks.
Scan Vaccination Pass Qr Code
CNN, Reed solomon correction method
For the design, It will lay out the front end and the back-end experience for the app. The
front-end experience of the application will be very user-friendly to its users. Every feature will be
straightforward so it can be easier to use.
USE RMFD (Real-world Masked Face-recognition Dataset )
USE MTCNN is a framework to detect mouth, nose & eyes which ultimately recognized
faces