Housekeeper Recommendation System using Machine Learning

Authors: Vaishnavi Bhamare, Pranjal Teli, Gauri Waykole, Rutika Bhalerao, Vaishali Khandave

Country: India

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Abstract: In the contemporary digital age, the Internet plays a pivotal role in reshaping various aspects of our lives. This abstract introduces a groundbreaking concept: the Housekeeper Finder application, a versatile platform that leverages the power of on-demand services to create a profitable home service business. This innovative application covers a broad spectrum of essential services, including house cleaning, cooking, laundry, pot cleaning, baby care, gardening, elderly care, and commercial cleaning, making it a market-oriented solution for modern households. At the core of the Housekeeper Finder application is a sophisticated machine learning system. This system utilizes customer data to provide intelligent booking recommendations, tailoring service options based on users’ past choices. Additionally, the platform features a robust feedback system that empowers customers to provide valuable insights, contributing to the continuous improvement of service quality. One of the most striking features of this application is its ability to enable service bookings from virtually anywhere to anywhere, offering unmatched convenience to users. The Housekeeper Finder application is poised to revolutionize the way home services are accessed and delivered, providing high-quality cleaning and assistance services with the ease and efficiency that our digital era demands.

Keywords: Housekeeper Finder application, essential services

Paper Id: 230431

Published On: 2024-01-08

Published In: Volume 12, Issue 1, January-February 2024

Cite This: Housekeeper Recommendation System using Machine Learning - Vaishnavi Bhamare, Pranjal Teli, Gauri Waykole, Rutika Bhalerao, Vaishali Khandave - IJIRMPS Volume 12, Issue 1, January-February 2024.

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