AutoDashAI: A Review of AI-Driven Automation in Data Cleaning, Visualization, and Dashboard Generation

Author(s)	Ms. Avani Sagar Dange, Ms. Haritakshi Jignesh Trivedi, Ms. Ashika Rakesh Jain, Prof. Vidya Sagvekar
Country	India
Abstract	With the rapid growth of data across domains, traditional analytics and dashboarding tools have become inefficient due to their heavy reliance on manual data cleaning, visualization selection, and domain expertise. Recent advances in Artificial Intelligence—particularly Large Language Models (LLMs), generative AI, and agent-based systems—have enabled partial automation of these tasks. Automated analytics now focuses on three core stages: intelligent data preparation and cleaning, AI-driven visualization and dashboard generation, and automated narrative and insight extraction. These developments form the foundation for systems like AutoDashAI, which aim to provide end-to-end, interactive, multilingual, and explainable analytics with minimal human intervention.
Field	Sociology > Data / Information / Statistics
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-02-01
DOI	https://doi.org/10.71097/IJSAT.v17.i1.10277
Short DOI	https://doi.org/hbm8bb

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International Journal on Science and Technology