Title: Voice assistant for dumb people using hand gestures
Description:
Imagine a technology that can help dumb people express their thoughts by converting their hand signals and gestures into voice or text. This project aims to develop a system that directly translates hand gestures into displayed text using advanced technology.
To implement this idea, we will utilize deep learning techniques to build a hand gesture recognition model. The model will be trained on a vast dataset of hand gestures and their corresponding labels. Multiple deep learning models will be compared based on their accuracy and losses, and the best performing model will be selected. This project holds great potential as a final year engineering project in machine learning.
Furthermore, this project falls under the category of object detection, making it highly valuable to society. The implementation will be carried out using Python as the primary programming language. The frontend will be developed using HTML and CSS, while the backend will utilize the Flask framework. As a whole, this project offers an excellent opportunity for final year engineering students interested in machine learning.
Keywords: Voice assistant, dumb people, hand gestures, deep learning model, accuracy, losses, final year engineering project, machine learning, IEEE project, object detection, Python, HTML, CSS, Flask framework.