Project Abstract

This project intends to develop a centralized platform that will change the landscape of significant purchases such as homes and luxury autos. By gathering substantial data and employing innovative technologies, the platform provides consumers with extensive information and advanced tools to help them make better decisions. Prioritizing user experience, the platform provides comprehensive search capabilities, granular filtering choices, and personalized suggestions to improve user confidence. The user-centric interface promotes accessibility and simplicity of use by utilizing a responsive design that is optimized across devices. Adopting an agile development technique allows for ongoing improvement based on customer feedback. Algorithms for recommendation systems, data mining, and analytical approaches extract relevant insights, speed up data processing, and provide specialized suggestions. The combination of React for the front end, Axios for API management, and MongoDB for data storage results in a scalable and adaptive technological architecture. Beyond technological breakthroughs, the project’s primary goal is to promote confidence, transparency, and happiness in online transactions, changing the future of e-commerce by providing a holistic solution that simplifies the purchasing process for high-value acquisitions.

Keywords: Web Application, E-commerce Platform, Sorting, Filtering , Complex Algorithm

 Conference Details

Session: Presentation Stream 20 at Presentation Slot 5

Location: GH037 at Wednesday 8th 09:00 – 12:30

Markers: Casey Hopkins, Jiaxiang Zhang

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work