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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM43107

DecisionBuddy – AI-Powered Product Comparison with Real-Time Data: A Technical Deep Dive

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM43107

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM43107

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

YD

Yogesh Dutt

SA

Suman Agrawal

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Abstract

This paper explores the development and implementation of DecisionBuddy, an AI-powered product comparison engine that leverages real-time data scraping, Natural Language Understanding (NLU), and Generative AI (GenAI). Aimed at overcoming decision fatigue in e-commerce and product selection, the platform demonstrates a scalable architecture and efficient query-to-recommendation pipeline. We provide an end-to-end technical breakdown of its architecture, implementation challenges, intelligent query parsing, and GPT-powered summarization process. A working Proof of Concept (POC) validates the system’s efficiency and accuracy. Live Url : http://decissionbuddy.yogeshdutt.in/

KEYWORDS

Product Comparison Real-Time Scraping GPT-4 Natural Language Understanding AI Recommendations

Cite This Article

Yogesh Dutt, Suman Agrawal, "DecisionBuddy – AI-Powered Product Comparison with Real-Time Data: A Technical Deep Dive," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM43107

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Publication Date

3/27/2025

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