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@article{170750,
        author = {Hemalatha S M and Divyadharshini M and Gausika K.M and Lavanya M},
        title = {CUSTOMER CHURN PREDICTION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {555-557},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170750},
        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.},
        keywords = {Dual Login Authentication, HTML, CSS, JavaScript Web Development, Voice Recognition Feedback},
        month = {December},
        }