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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM45237

GenViz AI: Data Visualization using Generative AI

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Paper ID:

10.55041/IJSREM45237

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Monthly (12 issues per year)

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10.55041/IJSREM45237

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MM

Manan Mistry

KK

Kaustubh Kabtiyal

MT

Manas Toraskar

SG

Sujit Giri

DSP

Dr. Suvarna Pansambal

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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

Cite This Article

Manan Mistry, Kaustubh Kabtiyal, Manas Toraskar, Sujit Giri, Dr. Suvarna Pansambal, "GenViz AI: Data Visualization using Generative AI," International Journal of Scientific Research in Engineering and Management, Apr 2025. https://doi.org/10.55041/IJSREM45237

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Publication Date

4/20/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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