International Journal of Science, Engineering and TechnologyAuthors: Assistant Professor A. C. Sawant, Satyam Shende, Jayesh Mahajan, Alfaj Tamboli
Abstract: The AutoDS project report presents a web application designed to simplify and automate machine learning (ML) model training and deployment for users with limited coding expertise. The platform supports various traditional ML and deep learning models, automates data preprocessing, exploratory data analysis (EDA), model training, evaluation, and report generation, making ML accessible across diverse domains. This review articulates the project's motivation, design, methodology, applications, advantages, limitations, and future scope, highlighting its contribution to democratizing ML workflows.
