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@article{180957,
        author = {Ayush SK and Rehanuddin SK and Payel Ghosh and Yasmin Khatun and Manasi Das},
        title = {Creating a Image Recognition Model Using ARPYM Model},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3122-3123},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180957},
        abstract = {Today's artificial intelligence applications, which have a big impact on industries like healthcare, retail, and security, depend heavily on image identification. In this project, a prediction model for image identification is developed using Google's ARPYM Teachable Machine. The article describes the fundamental ideas of the Teachable Machine, offers guidance on building a model for photo recognition, and evaluates the model's performance on prediction tests. Using a produced dataset, we provide experimental results and assess the model's correctness, usefulness, and practicality.},
        keywords = {Uses of teachable machines, machine learning, artificial intelligence, image recognition, and prediction models},
        month = {June},
        }