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VEHIQL-AI: An Intelligent Automotive Marketplace Integrating Visual Vehicle Recognition and AI-Powered Calling Agent Assistance

Author

Listed:
  • Prof. Nita Ingale

    (Dept. of Information Technology Vasantdada Patil Pratishthan’sCollege of Engineering and Visual Arts, Sion, Mumbai)

  • Chetan Harisagar Gupta

    (Dept. of Information Technology Vasantdada Patil Pratishthan’sCollege of Engineering and Visual Arts, Sion, Mumbai)

  • Siddhesh Kishor Gawade

    (Dept. of Information Technology Vasantdada Patil Pratishthan’sCollege of Engineering and Visual Arts, Sion, Mumbai)

  • Sneha Ashish Dubey

    (Dept. of Information Technology Vasantdada Patil Pratishthan’sCollege of Engineering and Visual Arts, Sion, Mumbai)

  • Sahil Subhash Mandavkar

    (Dept. of Information Technology Vasantdada Patil Pratishthan’sCollege of Engineering and Visual Arts, Sion, Mumbai)

Abstract

This research introduces an AI-driven automotive marketplace platform designed to enhance the vehicle buying and selling ecosystem through intelligent automation and data-driven decision-making. The system enables image-based vehicle search using computer vision models capable of extracting vehicle attributes such as make, model, variant, and features directly from user-uploaded images. The platform integrates an AI-powered conversational calling agent that analyzes customer intent, budget, and usage patterns to provide personalized vehicle recommendations and automated test drive booking. Experimental evaluation demonstrates that the proposed system achieves 93.4% vehicle recognition accuracy, an R² score of 0.87 for price prediction, and an average recommendation response time below 2.1 seconds, improving decision-making efficiency compared to traditional automotive marketplace platforms.

Suggested Citation

  • Prof. Nita Ingale & Chetan Harisagar Gupta & Siddhesh Kishor Gawade & Sneha Ashish Dubey & Sahil Subhash Mandavkar, 2026. "VEHIQL-AI: An Intelligent Automotive Marketplace Integrating Visual Vehicle Recognition and AI-Powered Calling Agent Assistance," International Journal of Latest Technology in Engineering, Management & Applied Science, International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), vol. 15(2), pages 762-776, February.
    • Handle: RePEc:bjb:journl:v:15:y:2026:i:2:p:762-776
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