International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Transforming Raw Data into Polished Reports: An LLM-Powered Solution for Customizing Template-Based PDFs

Author(s) Sambari Pranathi, Toluva Akshita, Mallak Vaishnavi, Mummadi Ramachandra, Dheeraj Sundaragiri
Country India
Abstract Extracting insights from raw data and presenting them in visually appealing reports often requires tedious manual effort. This work introduces a powerful solution leveraging large language models (LLMs) to streamline the process of generating customized, template based PDFs directly from raw data. Our LLM-powered approach automates data analysis, report writing, and template
customization, eliminating the need for manual intervention. By integrating seamlessly with existing data sources and reporting templates, this solution empowers users to generate professional reports instantly, saving valuable time and resources. We demonstrate the effectiveness of our approach through real-world examples, showcasing the ability to transform raw data into polished reports with unmatched efficiency and accuracy.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-04
Cite This Transforming Raw Data into Polished Reports: An LLM-Powered Solution for Customizing Template-Based PDFs - Sambari Pranathi, Toluva Akshita, Mallak Vaishnavi, Mummadi Ramachandra, Dheeraj Sundaragiri - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.18590
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.18590
Short DOI https://doi.org/gttbjp

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