This project aims to build a sign language detection system using machine learning techniques, specifically leveraging TensorFlow, OpenCV, LSTM, and Python. Objective: The main objective of this ...

Machine learning classifiers, including decision trees, k-nearest neighbors, and support vector machines, achieved accuracy levels of 96%, 96.5%, and 97%, respectively. While direct quantitative ...

This repository provides implementation, data, and documentation of a Natural Language Processing (NLP) Template Engine (TE), [Wk1], that utilizes Question Answering Systems (QAS'), [Wk2], and Machine ...

What is AI, exactly? The question may seem basic, but the answer is kind of complicated. In the broadest sense, AI refers to machines that can learn, reason, and act for themselves. They can make ...