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The Assistance E-Commerce Site with Collaborative Filtering and Basic Calculations which Authenticate User Using Face Detection

Author(s):

Shubham Kumar , Dr DY Patil School of Engineering Academy, Ambi; Amit Patel, Dr. DY Patil School Engineering Academy. Ambi; Rajsekhar Upase, Dr. DY Patil School Engineering Academy. Ambi

Keywords:

Collaborative Filtering, Voice-to-Text, Text-to-Voice, Voice Assistance, Face Detection

Abstract

Virtual Assistance, recommendation system and face detection are the part of artificial intelligent such as Google’s virtual assistant and Apple’s Siri, make the system intelligent and automate the task and also it become easier for system to interact with human. This technology makes system user friendly by recommending product and interact with human using voice. In this paper we develop a product assistance site that show products to users on the basis of collaborative filtering and Trending. For authenticating the users using face detection techniques. And finally apply two types of product search are text and voice. And the proposed System also involve E-commerce site that is rapidly increasing aspect in today technology that allow user to order or search product from home or outside the home. Recommendation System does not only have the potential to easy the search process but also improve the decision-making process that people make in daily life. The proposed System combine this technology together and allow user to search product using voice or text and recommend product and authenticate user using face detection.

Other Details

Paper ID: IJSRDV9I40439
Published in: Volume : 9, Issue : 4
Publication Date: 01/07/2021
Page(s): 396-399

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