Customer Analysis using Quantum Machine Learning

Author(s)	NANDHINITHA K, RENUKA R
Country	India
Abstract	In order to better understand user behavior and make business decisions, customer analysis is essential. This study describes a system that effectively analyzes consumer data using Quantum Machine Learning algorithms. The suggested approach combines a frontend interface created using React and Vite with a backend created with FastAPI. Firebase is used to securely maintain customer data. When compared to traditional techniques, the Quantum Machine Learning model improves pattern detection and categorization. Through an intuitive user interface, the technology offers real-time insights into consumer behavior. Results from experiments show increased performance and accuracy, which makes it appropriate for contemporary data-driven applications.
Keywords	Quantum Machine Learning, Customer Analysis , Fast API, React, Firebase, Data Analytics.
Field	Computer
Published In	Volume 17, Issue 1, January-June 2026
Published On	2026-04-30
Cite This	Customer Analysis using Quantum Machine Learning - NANDHINITHA K, RENUKA R - IJAIDR Volume 17, Issue 1, January-June 2026.

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Journal of Advances in Developmental Research