International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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FindWise-Smart Product and Service Recommender

Author(s) Prof. Yoheswari S, Ms. Sandhosini T S, Ms. Saairuba N B
Country India
Abstract In today’s digital marketplace, customers expect seamless shopping with personalized recommendations. Traditional e-commerce platforms often lack features that enhance engagement and decision-making. FindWise fills this gap by offering a secure, interactive platform for browsing products, managing wishlists, and placing orders. AI-driven search and recommendations provide personalized suggestions based on user behavior and preferences. Users can also explore local services, book appointments, and give feedback within the same platform. With analytics on trends and popular items, FindWise creates a personalized and user-friendly shopping and service experience.
Keywords E-commerce,Machine Learning,Collabrative filtering,Content Based filtering
Field Computer
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-30
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.58894

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