Utilizing a Kaggle dataset, this project focuses on predicting heart disease through machine learning techniques. By applying advanced algorithms and data analysis methods, the model aims to identify patterns and risk factors associated with heart disease.
Sign language detection using deep learning techniques involves developing models that can interpret and translate sign language gestures into text or spoken language. This application utilizes convolutional neural networks (CNNs) for accurate gesture recognition.