Project Abstract

The increasing intricacy of large-budget purchases such as realty, vehicles, and motorbikes, therefore, requires novel ideas and technological resources to simplify decision-making. To overcome this challenge, this “In the Market Web App” web application, which is built using the Django framework, is developed using the user-oriented approach, that simplifies the repository to explore and compare. This app, which acts as a single-point platform, allows easy access to gather relevant data and perform analysis. The system takes advantage of online scraping techniques that in real-time capture the latest records about the price, availability, and key features of diverse products. This grants users the ability to have better decision-making skills by letting them move from one product to another, according to their needs and preferences, with ease. In addition, the project is accomplished with user-friendly navigation based on illustration. This feature helps customers to get a real-time view of their prospective products by giving the pricing information and the details about the product in an extremely easy and smooth way. The project’s collaborative nature emphasizes its characteristics by not only asking for user input but also allowing for feature expansion. Users’ ideas and feedback may be effectively introduced to the system in upgrading, thus remaining a great tool for purchase guidance in such complex situations. Therefore, the “In the Market Web App” defines the Django advantage of creating a fast and information resourceful website for conscious consultation. This will be done through providing a data central hub, user-friendly comparison mechanisms and promising user-driven development. As the end users will benefit from these facilities, research, and compare big ticket purchases will become an easier journey resulting in informed and ultimate satisfaction.

Keywords: User-Oriented Approach, Single-Point Platform, Real-Time Data Updates

 Conference Details

Session: Presentation Stream 17 at Presentation Slot 9

Location: GH011 at Wednesday 8th 09:00 – 12:30

Markers: Arnold Beckmann, Alex Warren (GTA)

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work