Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{179544,
        author = {Sudipta Kaibartya and Brishti Sil and Rumki Ghosh and Sathi Ghosh and Younus Mondal},
        title = {Making a website with SBRSY HTML code for web development},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6946-6947},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179544},
        abstract = {Image identification is a key component of 
today's artificial intelligence applications, which 
significantly affect sectors including healthcare, retail, 
and security. In this study, Google's JSAAN Teachable 
Machine is used to create a predictive model for image 
recognition. The article provides instructions for 
creating a model for photo identification, outlines the 
core concepts of the Teachable Machine, and assesses 
the model's performance on prediction tests. We show 
experimental results based on a generated dataset and 
evaluate the model's accuracy, utility, and real-world 
applicability.},
        keywords = {Applications of artificial intelligence,  machine learning, teachable machines, image  recognition, and prediction models},
        month = {May},
        }