Handy

I developed a front-end interface for a client's program that combines the "Flet" package in Python-Flutter (In its initial month of release). This program is specifically designed to facilitate user interaction with a machine learning model for hand sign recognition. Its primary functionality is to capture hand signs through a camera feed and provide real-time predictions.

The program's user-friendly interface allows individuals to easily capture hand signs using their device's camera. Once captured, the images are processed by the machine learning model to accurately identify and classify the hand signs present. By incorporating the capabilities of the "Flet" package, the program ensures efficient and precise processing of the input data while animating the hand sign in the GUI.