MakeSenseai
MakeSenseai is a software project and platform designed to support the development, evaluation, and deployment of machine learning models with an emphasis on transparency and usability. The project provides a modular toolkit intended for data scientists, engineers, and analysts, combining data preparation, model training workflows, explainability, and deployment utilities in a single environment. MakeSenseai aims to facilitate reproducibility, model auditing, and governance for teams working with regulated data.
Key features include explainable AI components that generate local and global explanations for predictions, bias and
MakeSenseai is commonly used for research and industry applications where interpretability and compliance are important, such