TensorMap

This year's goal aims to enhance the TensorMap web application by addressing technical challenges and introducing functionalities to improve usability and efficiency. Key issues, such as dependency management and server-side complexity, will be tackled by Dockerizing the backend for easier deployment. Fixing the neural architecture design workflow will also be the main focus of this year's contribution. New features planned to be introduced into the project include support for image datasets with Convolutional Neural Networks (CNNs), addition of linear regression models for regression tasks, and dataset preprocessing for a better user experience. Finally, documentation on introducing new nodes for future contributors and users along with improved testing coverage for client-side reliability will also be implemented.