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CAR APPRAISAL APPLICATION

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dc.contributor.author Rehman, Nafay ur Reg
dc.contributor.author Inam, Muhammad Anas
dc.contributor.author Azlan, Hafiz Muhammad Usama
dc.date.accessioned 2026-07-09T07:15:00Z
dc.date.available 2026-07-09T07:15:00Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/123456789/21424
dc.description Supervised by Muhammad Marouf en_US
dc.description.abstract The valuation of used cars has long been plagued by manual methods, leading to inconsistencies, limited data access, and an inability to adapt swiftly to market changes. This challenge prompted the development of the Car Appraisal Application, a transformative solution leveraging advanced technologies, particularly Machine Learning (ML) algorithms. This application addresses the lack of standardization in traditional valuation methods, introducing automated algorithms for precise predictions. By centralizing extensive vehicle and market data, it mitigates the issue of limited data access, ensuring comprehensive and real-time insights. The system’s adaptability to evolving market trends, a key feature, enables dynamic valuation adjustments in response to changing conditions. Car Appraisal Application emerges not only as a technological innovation but as a solution to longstanding challenges in the automotive industry. It promises standardization, comprehensive data access, and dynamic adaptability, revolutionizing the car appraisal process. This project sets the stage for future advancements, with a commitment to addressing trends and challenges in the ever-evolving automotive landscape. en_US
dc.language.iso en_US en_US
dc.publisher Bahria University Karachi Campus en_US
dc.relation.ispartofseries BSCS;MFN BSCS 495
dc.title CAR APPRAISAL APPLICATION en_US
dc.type Project Reports en_US


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