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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55667

AI-Driven Knowledge Graph Platform For Business Insights

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55667

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55667

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

NN

Nagarjun NM1

SA

Shashank A2

YH

Yuktha Hassan3

AG

Ayush Gopal4

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Abstract

ChakraView is a state-of-the-art knowledge graph platform with advanced technology in serving humanity. It is grounded on Flask-based UIs, graph data on Neo4j, and events on the OxyLabs API. The paper describes how machine learning and AI are utilized in generating knowledge graphs in ChakraView. The knowledge graphs are applied in event management and provision of transparent insights based on intricate information. The system relies on secure login with Flask-Login and efficiently stores knowledge relations in Neo4j. It renders responses in real-time with event-driven API calls. We talk about the technology on the platform, how we deployed it, and how the system functions in scalability, simplicity, and integration with other systems such as OxyLabs. We conclude with how decision-making in rapidly developing situations is made better with tools powered by AI with the provision of reliable and scalable ways in representing and comprehending information.

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Cite This Article

Nagarjun NM1, Shashank A2, Yuktha Hassan3, Ayush Gopal4, "AI-Driven Knowledge Graph Platform For Business Insights," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55667

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Publication Date

12/30/2025

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Double-Blind Peer Review

Review Rounds: 2

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