ShopSense: An AI-Driven Search,Forecasting,and  Recommendation System

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K.Seshu

ShopSense: An AI-Driven Search,Forecasting,and Recommendation System

Authors: K.Seshu

Unique Paper ID: 174263
Volume: 11
Issue: 10
PageNo: 3314-3317

Keywords: E-commerce web scraping price comparison price prediction ResNet-50 ARIMA product recommendation AI-driven shopping image-based classification real-time forecasting.

Abstract:
Shopsense simplifies the shopping process for users. It is a web-based application that will extract the prices from various online shopping websites and give the top 5 e-commerce websites offering low prices. It will also be able to predict the price of the product that we are searching for based on the previous price history and it will give a visualization of a chart of future prices and it is also able to recommend the products in various e- commerce websites related to our search results. The system integrates web scraping and APIs to retrieve product data, employs the ResNet-50 model for image-based product classification, and utilizes the ARIMA model for price trend prediction. The proposed framework enhances the shopping experience by offering real- time price comparisons, intelligent forecasting, and personalized recommendations.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 10
PageNo: 3314-3317

ShopSense: An AI-Driven Search,Forecasting,and Recommendation System

Available:https://ijirt.org/article?manuscript=174263

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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