AI Model Builder

In the evolving landscape of data-driven decision-making, the need for accessible and automated machine learning tools is more pressing than ever. This paper presents a comprehensive framework for an AI Model Builder, a no-code, local machine learning playground designed to simplify predictive modeling for users with little to no technical background. The system enables users to upload datasets, select target variables, and automatically identify the problem type (classification or regression). It further performs intelligent data preprocessing, model selection, and evaluation using popular machine learning algorithms. By offering a visual and interactive environment, the AI Model Builder empowers users to derive actionable insights from their data without writing a single line of code. This project enhances understanding of AI among beginners, reduces dependency on cloud services, preserves data privacy, and accelerates data exploration and analysis.