Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184026
Title: InsAIghts: dynamic dashboard leveraging LLMs for data exploration
Authors: Loo, Nicky Tai Ler
Keywords: Computer and Information Science
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Loo, N. T. L. (2025). InsAIghts: dynamic dashboard leveraging LLMs for data exploration. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184026
Project: CCDS24-0148
Abstract: In light of the rapid proliferation of data analytics tools and the growing technical skill gap among business users, InsAIghts Dashboard was conceptualised as a cost-effective and user-friendly solution to accelerate data driven decision-making. The goal is to empower all business, regardless of financial or resource constraints, to gain actionable insights with minimal effort, all whilst ensuring privacy and security of their data. This paper will provide a comprehensive analysis on the development of the InsAIghts Dashboard application, highlighting important architectural and design decisions made and provide greater insights into providing cost-effective data analytics tools with advanced artificial intelligence solutions. Furthermore, the report will also discuss the limitations of the project, and provide recommendations for future improvement.
URI: https://hdl.handle.net/10356/184026
Schools: College of Computing and Data Science 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CCDS Student Reports (FYP/IA/PA/PI)

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