This document discusses a proposed system to classify and predict diabetes using machine learning and deep learning algorithms. The objectives are to classify the PIMA Indian diabetes dataset and design an interactive application where users can input data to get a prediction. The proposed system uses support vector machine (SVM) for machine learning and neural networks for deep learning. It aims to improve accuracy over existing systems by using deep learning techniques. The methodology involves collecting a dataset, preprocessing, splitting for training and testing, applying algorithms, and evaluating results.