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@article{186390,
        author = {Meherunnesa Khatun and Indranil Singha and Ranjan Modak and Somnath Hazra and MD Alamin Mallick},
        title = {Using the MIRSM Model to Develop an Image Recognition Model},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1032-1033},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186390},
        abstract = {Abstract— Image identification is a key component of today's artificial intelligence applications, which significantly affect sectors including healthcare, retail, and security. In this project, Google's MIRSM Teachable Machine is used to create a prediction model for image recognition. The article provides instructions for creating a model for photo recognition, explains the core concepts of the Teachable Machine, and assesses the model's performance on prediction tests. We present experimental results and evaluate the accuracy, practicality, and utility of the model using a generated dataset.},
        keywords = {Index Terms— Uses of teachable machines, machine learning, artificial intelligence, image recognition, and prediction models},
        month = {November},
        }