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@article{171701,
        author = {Nilima Dey and Chowdhury Imran and Disha Seth and Rokeya Khatun},
        title = {Model for Predicting Image Recognition Using NCDR Teachable Machine},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {814-815},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171701},
        abstract = {Image recognition has become a crucial part of modern AI applications due to its impact on industries including healthcare, retail, and security. In this project, Google's NCDR Teachable Machine is used to create a prediction model for picture recognition. The article outlines the fundamental concepts of the Teachable Machine, explains how to construct an image recognition model, and evaluates its performance in prediction tasks. We show experimental results on a generated dataset and analyze the model's accuracy, usefulness, and potential for real-world applications.},
        keywords = {Image recognition, Teachable Machine, prediction model, machine learning, AI applications.},
        month = {January},
        }