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AI-Driven Diagnostic System for Vehicles: Leveraging AI for Accurate and Efficient Automotive Problem Solving New Horizon College of Engineering, CSE-DS
- Format:
- Book
- Conference/Event
- Author/Creator:
- Sasikala, T., author.
- Conference Name:
- Automotive Technical Papers (2024-01-01 : Warrendale, Pennsylvania, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2024
- Summary:
- Traditional vehicle diagnostics often rely on manual inspections and diagnostic tools, which can be time-consuming, inconsistent, and prone to human error. As vehicle technology evolves, there is a growing need for more efficient and reliable diagnostic methods. This paper introduces an innovative AI-based diagnostic system utilizing Artificial Intelligence (AI) to provide expert-level analysis and solutions for automotive issues. By inputting various details such as the vehicle's make, model, year, mileage, problem description, and symptoms, the AI system generates comprehensive diagnostics, identifies potential causes, suggests step-by-step repair solutions, and offers maintenance tips. The proposed system aims to enhance diagnostic accuracy and efficiency, ultimately benefiting mechanics and vehicle owners. The system's effectiveness is evaluated through various experiments and case studies, showcasing its potential to revolutionize vehicle diagnostics
- Notes:
- Vendor supplied data
- Publisher Number:
- 2024-01-5225
- Access Restriction:
- Restricted for use by site license
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