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@article{178992,
        author = {BENAKESHWAR GK and VISHWAS CHANDRA C and DARSHAN KARTHIK KJ and GAUTHAM ASHWANI and PREETHI N and Dr. MURALI PARAMESWARAN},
        title = {CONVERSATIONAL IMAGE RECOGNITION CHATBOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5666-5671},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178992},
        abstract = {This research paper is a study on the problem statement , conversational image recognition chatbot and development of a chatbot using deep learning and natural language processing techniques. The system combines a CNN-based aircraft classification model that accurately identifies aircraft images together with an LLM-based system to conduct question-answering about recognized aircraft. The application functions as a web-based program which provides real-time identification alongside contextual information access by utilizing a multimodal interface. The system provides dynamic user interaction capabilities to static image recognition tools which can benefit education training and defense operations as well as aviation analysis applications. The system's testing outcomes show better performance and accuracy together with stable conversational abilities which suggests its ability for deployment scalability.},
        keywords = {Deep Learning, Conversational AI, Military Aircraft, Natural Language Processing, Convolutional Neural Network, Large Language Model , Real-Time Identification , Chatbot},
        month = {May},
        }