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@article{169815,
        author = {Mr. S Dhinakaran and Sailesh R and Subiksha S and Yamini R and Naveenkumar K},
        title = {Convolutional and Image Recognition Chatbot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2598-2602},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169815},
        abstract = {Deep learning and natural language processing (NLP) rapid progress has made it possible to create algorithms that can use conversational image recognition chatbots as one most prominent sophisticated applications. This project is all about creating a chatbot by means of image recognition interaction with NLP to create a natural conversation between the users and the images they want to query using natural language. The system uses pre-trained Convolutional Neural Networks (CNNs) not only for image classification and object detection but also for the engine and natural language processing (NLP) models for understanding and processing user intents. With these fulfilled technologies, the chatbot can analyze the word's and respond precisely to people's requests, e.g. by enlisted the products in the word's list or giving a summary of what the image dedicates. The advised approach itself is meant to guarantee that the chatbot will expand through user feedback. This project exemplifies the effectiveness of image recognition technology when combined with AI interacting conversationally with the users or their images in practice ranging from the areas of customer support, education, and interactive media either with the out instance or with the high instance allow and include the others as part of the array.},
        keywords = {},
        month = {November},
        }