Project Abstract

The motivation behind the “Marketplace Web Application” project stems from the increasingly complex digital landscape where consumers face the challenge of making informed large-scale purchases, such as cars and homes. In a world inundated with data, there’s a significant need to streamline the decision-making process by providing consolidated, easy-to-access information.This project aims to revolutionize how consumers make these large purchases by delivering a user-friendly platform that offers comprehensive, comparative insights. The research is uniquely positioned as it integrates advanced data visualization tools and comparison features into one platform, making it distinctively advantageous for users seeking clarity and depth in product information.The main aim is to determine how effective these tools are in aiding users’ decision-making processes and to explore which aspects of the application most significantlyimpact user satisfaction and choice. The methods employed involve the development of a web application utilizing technologies like React for the front end and Node.js for the backend, ensuring a responsive and interactive experience. The approach includes integrating databases for real-time data access and employing user-centric design principles to enhance the usability of the application. While findings are anticipated rather than established at this stage, the project expects to reveal key trends in user behavior and preferences regarding online big-item purchases. Insights into the most effective data presentation formats and user interface designs are also expected.The application aims to serve as a pivotal tool in simplifying complex purchase decisions. The expected contribution of this project is significant; it introduces a novelapproach to handling and presenting large-scale market data, potentially setting new standards in e-commerce usability and consumer decision-making. If successful, this research will provide a clearer understanding of how technological solutions can directly enhance consumer confidence and efficiency in navigating substantial investments.

Keywords: Web Application, ,

 Conference Details

Session: Presentation Stream 16 at Presentation Slot 6

Location: GH001 at Wednesday 8th 09:00 – 12:30

Markers: Arno Pauly, Alec Critten (GTA)

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for an industry placement