Development of a vehicle auction system using .net core and next.js
Session
Computer Science and Communication Engineering
Description
This paper focuses on the development of a robust online auction platform for vehicles using .NET Core and Next.js, aimed at increasing efficiency and easing access to the car buying and selling process. The platform is designed to facilitate seamless online auctions where users can easily create and modify bids. Buyers will be able to search for and filter vehicles based on a wide range of preferences, such as make, model, year, and price range, and they will be able to view highresolution, detailed images of the vehicles. One of the key challenges addressed by this platform is the issue of transparency, as the online nature of the auction means that buyers cannot physically inspect the vehicles. This challenge is critical for maintaining trust in the auction process. The study explores the impact of such online platforms on the traditional car market, focusing particularly on how they influence buyer behavior, market trends, and the overall efficiency of vehicle transactions. To gain a comprehensive understanding of how online vehicle auctions affect the market, this research will take a multidimensional approach. It will analyze user feedback to capture their experiences and concerns, and it will examine real-world data from existing auction platforms to identify trends and patterns. By focusing on these practical aspects, the study aims to highlight both strengths and areas for improvement in online vehicle auctions. The insights gathered will lead to actionable recommendations for enhancing transparency and trust, ultimately contributing to the development of more reliable online platforms for users.
Keywords:
Vehicle Auctions, .NET Core, Next.js, Online Platform, Transparency
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-15-3
Location
UBT Kampus, Lipjan
Start Date
25-10-2024 9:00 AM
End Date
27-10-2024 6:00 PM
DOI
10.33107/ubt-ic.2024.388
Recommended Citation
Dullaj, Berat; Kabashi, Faton; Shkurti, Lamir; Sofiu, Vehebi; and Selimaj, Mirlinda, "Development of a vehicle auction system using .net core and next.js" (2024). UBT International Conference. 4.
https://knowledgecenter.ubt-uni.net/conference/2024UBTIC/CS/4
Development of a vehicle auction system using .net core and next.js
UBT Kampus, Lipjan
This paper focuses on the development of a robust online auction platform for vehicles using .NET Core and Next.js, aimed at increasing efficiency and easing access to the car buying and selling process. The platform is designed to facilitate seamless online auctions where users can easily create and modify bids. Buyers will be able to search for and filter vehicles based on a wide range of preferences, such as make, model, year, and price range, and they will be able to view highresolution, detailed images of the vehicles. One of the key challenges addressed by this platform is the issue of transparency, as the online nature of the auction means that buyers cannot physically inspect the vehicles. This challenge is critical for maintaining trust in the auction process. The study explores the impact of such online platforms on the traditional car market, focusing particularly on how they influence buyer behavior, market trends, and the overall efficiency of vehicle transactions. To gain a comprehensive understanding of how online vehicle auctions affect the market, this research will take a multidimensional approach. It will analyze user feedback to capture their experiences and concerns, and it will examine real-world data from existing auction platforms to identify trends and patterns. By focusing on these practical aspects, the study aims to highlight both strengths and areas for improvement in online vehicle auctions. The insights gathered will lead to actionable recommendations for enhancing transparency and trust, ultimately contributing to the development of more reliable online platforms for users.