ComparoMeter

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dc.contributor.author 03-134192-047, Ghulam Umer Farooq
dc.contributor.author 03-134192-053, Daud Suleman
dc.date.accessioned 2024-12-31T08:09:44Z
dc.date.available 2024-12-31T08:09:44Z
dc.date.issued 2023-06-20
dc.identifier.other BULC1102
dc.identifier.uri http://hdl.handle.net/123456789/18892
dc.description Supervisor: Sadia Aslam en_US
dc.description.abstract This project aims to develop a mobile application that enables users to compare products from multiple online stores, such as Walmart and Lazada, and find the best deals available. The application utilizes APIs provided by various e-commerce platforms to fetch product data, including prices, quality, ratings, reviews, and other relevant information. It employs a sophisticated comparison algorithm that analyses the collected data to rank products based on different criteria, such as price, quality, and customer feedback. The application offers a user-friendly interface that allows users to filter and sort the products based on their preferences. Additionally, it provides features such as bookmarking favourite items and sharing them with others. The project incorporates web scraping techniques to gather data from online stores, data analysis techniques to process and evaluate the collected information, and user interface design principles to create an intuitive and efficient application for online shoppers. By developing this mobile application, the project showcases the integration of multiple e-commerce platforms, the implementation of a powerful comparison algorithm, and the utilization of web scraping, data analysis, and user interface design techniques. The end result is a valuable tool that assists users in making informed purchasing decisions by identifying the best deals across different online stores. en_US
dc.language.iso en en_US
dc.relation.ispartofseries ;BULC1102
dc.title ComparoMeter en_US
dc.type Project Reports en_US


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