GenViz AI: Data Visualization using Generative AI

GenViz AI: Data Visualization using Generative AI

Manan Mistry, Kaustubh Kabtiyal, Manas Toraskar, Sujit Giri, Dr. Suvarna Pansambal

Department of Computer Engineering

Atharva College of Engineering,
Mumbai University, India

Abstract- Data analysis plays a pivotal role in decision-making, but its complexity often makes it inaccessible to non-technical users. Traditional approaches require expertise in programming, statistics, and visualization tools, creating a barrier for many. This research introduces a system leveraging Artificial Intelligence (AI), Large Language Models (LLMs), and PandasAI to simplify data analysis. The system integrates Retrieval-Augmented Generation (RAG) techniques, allowing users to upload datasets (e.g., Excel files) and query them in natural language. With the ability to process, summarize, and visualize data automatically, the system democratizes access to insights, reducing analysis time and enabling broader participation. It is designed to handle datasets efficiently, producing outputs within seconds. This paper highlights how the proposed system fosters inclusivity, improves decision-making, and transforms data analysis into an intuitive process accessible to a wide audience.

Keywords: LLM, Data Visualization, Query Processing, Natural Language Processing