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@article{170845,
        author = {Pritam Nandi and Sirshak Pandit and Tuhin Jash and Sathi Sarkar and Santosh Dutta},
        title = {Image Recognition Prediction Model Using PSTSS Teachable Machine},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {2018-2019},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170845},
        abstract = {With its influence on sectors including healthcare, retail, and security, image recognition has emerged as a key component of contemporary AI applications. This study investigates the creation of a prediction model for picture identification using Google's PSTSS Teachable Machine. The study presents the Teachable Machine's foundational ideas, describes how to build an image recognition model, and assesses how well it performs in prediction challenges. We examine the accuracy, usability, and potential for practical applications of the model while presenting experimental findings on a constructed dataset.},
        keywords = {Image recognition, Teachable Machine, prediction model, machine learning, AI applications.},
        month = {December},
        }