AI Trained Object Finding Using Google Teachable Machine

AUTHOR(S)

Mallikarjun L.S., Raghavendra Urankar, Sujal S. Kharbhari, Ajaykumar, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G.

DOI: https://doi.org/10.46647/ijetms.2023.v07i03.090

ABSTRACT
In this paper, the AI Trained Object Finding Using Google Teachable Machine is presented. Artificial intelligence (AI) and machine learning (ML) teaching technology is crucial for improving the quality of basic education. Using AI and ML technology, teachers of young children can enhance the learning environment in the classroom and make learning more enjoyable. By integrating GTM student-trained models into lightweight and cellphone web apps, machine learning can be made accessible to a broader audience. Although students must understand fundamental concepts such as training set, prediction accuracy, and class labels, practical experience is necessary to solve complex real-world issues. AI Trained Object Finding, which uses Google Teachable Machine, is a project that explores the use of machine learning to detect and classify objects in images. The project trains a custom machine learning model to recognize specific objects using a set of labeled images. The trained model can then be tested on new images to determine its accuracy in object detection and classification. This project demonstrates the potential of machine learning in various fields such as e-commerce, security systems, and surveillance and provides an accessible way for individuals and small businesses to utilize this technology. The work done & presented in this paper is the result of the mini-project work that has been done by the first sem engineering students of the college and as such there is little novelty in it and the references are being taken from various sources from the internet, the paper is being written by the students to test their writing skills in the starting of their engineering career and also to test the presentation skills during their mini-project presentation. The work done & presented in this paper is the report of the assignment / alternate assessment tool as a part and parcel of the academic assignment of the first year subject on nanotechnology & IoT.
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How to Cite This Article:
Mallikarjun L.S., Raghavendra Urankar, Sujal S. Kharbhari, Ajaykumar, Dr. Pavithra G., Dr. Sindhu Sree M., Dr. T.C.Manjunath, Rajashekher Koyyeda, Aditya T.G. .AI Trained Object Finding Using Google Teachable Machine . ijetms;7(3):598-602. DOI: 10.46647/ijetms.2023.v07i03.090