Paper Title

Discipline monitoring bot using machine learning

Authors

Mohanram K , Moulidharan M , Prasanth V , Praveen V , Sudharsanan R

Keywords

The tensorflow is used for training the data set more the 1000 times and mobilenet v2 algorithm is used as training model

Abstract

Our project is used to monitor and detect the discipline level of student while enter the college by use of trained data of dress code and beard detection generated from the machine learning python code and library. The tensorflow is used for training the data set more the 1000 times and mobilenet v2 algorithm is used as training model .it the branch of cnn(convolutional neural network).by the above step a trained model obtained and covered to a mobile app by using android studio platform .For the front end of app java programming language is used and a trained is uploaded to the code. This mobile app is coverted to movable bot for a comfort detection. In college entrance settings, adherence to dress code policies is often required during interviews or campus visits. To ensure compliance, a system that can automatically detect improper dress code and provide a sound indication can be useful. In recent years, machine learning techniques have shown great promise in solving complex problems like this. In this paper, we present a novel approach to detecting improper dress code using the MobileNetV2 algorithm, which is a lightweight and efficient neural

How To Cite

"Discipline monitoring bot using machine learning", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.899-904, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001142.pdf

Issue

Volume 11 Issue 2, February-2024

Pages : 899-904

Other Publication Details

Paper Reg. ID: TIJER_151120

Published Paper Id: TIJERB001142

Downloads: 000311

Research Area: Science and Technology

Country: THIRUVALLUR, TAMILNADU, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJERB001142

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJERB001142

About Publisher

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

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