Viyugam-64 is an AI-powered chess automation system that captures the on-screen board, predicts the best move using deep learning, and executes the move instantly — combining computer vision, neural networks, and real-time automation into one seamless tool.

A deep learning model that analyzes MRI brain scan images to classify the presence or absence of a tumor. Using convolutional neural networks, the system learns medical imaging patterns and assists…

A custom convolutional neural network trained to detect and classify water cans in images. The model preprocesses camera frames, learns shape and texture features, and enables real-time detection f…

A machine learning model that analyzes historical booking patterns—such as travel date, route, passenger details, and train capacity—to predict whether a train ticket will be confirmed, waitlisted,…

A machine learning model that analyzes customer behavior, service usage, demographics, and interaction patterns to predict which customers are likely to leave a company. This helps businesses impro…

A deep learning model trained on the EMNIST dataset to classify handwritten letters and digits. Using convolutional neural networks, the system learns character shapes and stroke patterns, enabling…