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@article{179487,
        author = {Sarupa Seth and Anisur Rahaman Seikh and Soumya Das and Sadik Hossain Mondal and Nasim SK and Debanshu Kar},
        title = {A Structure for Image Recognition Prediction Using the SASSND Teachable Machine.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8185-8186},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179487},
        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 research, a predictive model for picture recognition is developed using Google's SASSND Teachable Machine. The article explains the fundamental ideas of the Teachable Machine, offers instructions for building a model for photo identification, and evaluates how well the model performs on prediction tests. We assess the model's accuracy, usefulness, and potential for use in real-world situations while presenting experimental findings based on a produced dataset.},
        keywords = {Image recognition, teachable machines, machine learning, prediction models, and artificial intelligence applications},
        month = {May},
        }