SMYK Teachable Machine Model for Image Recognition Prediction

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Sk Shakhayat Hossain; Manisha Biswas; Yasmin Mondal; Kazi MD. Kaif

SMYK Teachable Machine Model for Image Recognition Prediction

Authors: Sk Shakhayat Hossain, Manisha Biswas, Yasmin Mondal, Kazi MD. Kaif

Unique Paper ID: 171703
Volume: 11
Issue: 8
PageNo: 816-817

Keywords: Image recognition Teachable Machine prediction model machine learning AI applications.

Abstract:
Given its influence on sectors including healthcare, retail, and security, image recognition has emerged as a critical component of contemporary AI applications. In this research, a prediction model for image identification is developed using Google's SMYK Teachable Machine. The article describes the basic ideas behind the Teachable Machine, shows how to build a model for picture recognition, and assesses how well it performs in prediction challenges. We examine the model's accuracy, practicality, and potential for real-world applications while presenting experimental findings on a produced dataset.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 816-817

SMYK Teachable Machine Model for Image Recognition Prediction

Available:https://ijirt.org/article?manuscript=171703

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