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In today's dynamic automotive market, the integration of technology has become paramount for enhancing the efficiency and effectiveness of car selling and buying processes. This paper presents a novel approach to revolutionize the car trading industry through the utilization of advanced technologies, specifically focusing on artificial intelligence (AI) and image processing techniques. Our proposed platform offers a unique selling point by leveraging AI-driven algorithms to extract number plates from vehicle photos and subsequently fetching public details of the cars. Furthermore, the system employs sophisticated data science methodologies to predict car prices based on various parameters. By amalgamating AI, image recognition, and predictive analytics, our platform aims to provide users with an innovative and streamlined car selling and buying experience. This research contributes to the ongoing discourse on the intersection of technology and automotive retail, offering insights into the potential of AI-driven solutions to transform traditional practices in the industry. Additionally, the findings of this study shed light on the implications and opportunities for future developments in the field of car trading platforms.
Keywords:
Car trading ,AI technology ,Image processing ,Number plate extraction ,Predictive analytics , Data science
Cite Article:
"Revolutionizing Car Sales: A Technological Approach with AI-Driven Number Plate Extraction and Price Prediction", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.472 - 475, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404065.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator