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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
AI-Driven Dashboard Insights: KPI Summarization Using LLMs
Authors
Krutika Shrikant Walzade, Shivam Vilas Gaikwad
Keywords
Business Dashboard, KPI Extraction, LLMs, AI Summarization, Computer Vision, Business Intelligence, Optical Character Recognition.
Abstract
Business dashboards use Key Performance Indicators (KPIs) to give essential insights, but it's still challenging to efficiently extract and analyze large amounts of data. Decision-making is frequently hampered by cognitive overload, which reduces the usefulness of these tools. In order to automatically extract and summarize KPIs from dashboard screenshots, this study presents a Business Dashboard Summarizer that uses Large Language Models (LLMs), computer vision, and optical character recognition. The solution improves accessibility, reduces information overload, and improves business intelligence productivity by turning raw data into concise, natural-language summaries. This study demonstrates how AI-driven summarization can optimize data interpretation and make strategic insights easy to use and more actionable.
IJCRT's Publication Details
Unique Identification Number - IJCRT25A4573
Paper ID - 284064
Page Number(s) - n401-n408
Pubished in - Volume 13 | Issue 4 | April 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Krutika Shrikant Walzade, Shivam Vilas Gaikwad, "AI-Driven Dashboard Insights: KPI Summarization Using LLMs", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.n401-n408, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A4573.pdf
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Volume 14 | Issue 3
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March 2026
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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