Authors : Brahma Reddy Katam

Volume/Issue : Volume 9 - 2024, Issue 9 - September

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Google Scholar : https://tinyurl.com/bx2bvfkt

Scribd : https://tinyurl.com/b4a7pseu

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP1264

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : This paper explores the implementation of an AI-enabled camera system to detect faces and analyze the mood, expressions, and mental health of employees as they enter the office. The data collected is stored in an Amazon S3 bucket and used to send personalized emails within the company, offering proactive wellbeing support sessions and tips to help employees improve productivity. This approach aims to enhance employee wellbeing and organizational performance through timely and tailored interventions.

Keywords : Face detection, wellbeing analysis, mental health, AI-enabled camera, machine learning, employee support, Amazon S3, data storage, proactive emails.

References :

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