CUSTOMER CHURN PREDICTION

Hemalatha S M; Divyadharshini M; Gausika K.M; Lavanya M

CUSTOMER CHURN PREDICTION

Authors: Hemalatha S M, Divyadharshini M, Gausika K.M, Lavanya M

Unique Paper ID: 170750
Volume: 11
Issue: 7
PageNo: 555-557

Keywords: Dual Login Authentication HTML CSS JavaScript Web Development Voice Recognition Feedback

Abstract:
In moment’s digital geography, client retention is critical. This design presents a sophisticated churn vaticination platform that evolved from a simple website into an AI- enhanced system for relating and addressing client development pitfalls. By integrating voice recognition AI, the platform enables feedback from druggies of all knowledge situations, promoting inclusivity and enriching client perceptivity. Developed with HTML, CSS, and JavaScript, and employing machine literacy algorithms, the system features secure binary logins and a Google Forms feedback circle for real- time analysis. This accessible, stoner-friendly design demonstrates how voice- enabled data prisoner and prophetic analytics can drive retention strategies, furnishing a scalable, poignant result across diligence.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 7
PageNo: 555-557

CUSTOMER CHURN PREDICTION

Available:https://ijirt.org/Article?manuscript=170750

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UGC Approved
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