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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55667
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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.
KEYWORDS
Publication Date
12/30/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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