Paper Title

AI Mood Detection Application

Keywords

Abstract

This study is, about creating an app that uses Artificial Intelligence to figure out how people are feeling. The app is called an Artificial Intelligence based Mood Detection App. It looks at peoples faces. What they type to see if they are happy or sad or something else. We want to know if the Artificial Intelligence based Mood Detection App can tell when someone is feeling happy or when someone is feeling sad or when someone is feeling angry or when someone is feeling neutral. The study is using machine learning to make the Artificial Intelligence based Mood Detection App work.We are trying to see if the Artificial Intelligence based Mood Detection App can really tell how people are feeling by looking at their faces and what they type. The goal is to make the Artificial Intelligence based Mood Detection App good at knowing when someone's happy or when someone is sad or when someone is angry or when someone is feeling neutral. We are using machine learning to help the Artificial Intelligence based Mood Detection App get better at figuring out peoples feelings.

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Registration ID: IJVRA_702004   Published ID: IJVRA2603499

How To Cite

"AI Mood Detection Application", IJVRA - International Journal of Versatile Research and Analysis (www.IJVRA.org), ISSN:2984-8903, Vol.4, Issue 3, page no.845-850, March-2026, Available :https://ijpub.org/ijvra/papers/IJVRA2603499.pdf

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Other Publication Details

Paper Reg. ID: IJVRA_702004

Published Paper Id: IJVRA2603499

Research Area: Other area not in list

Country: Solapur, Maharashtra, India

Published Paper PDF: https://ijpub.org/IJVRA/papers/IJVRA2603499

Published Paper URL: https://ijpub.org/IJVRA/viewpaperforall?paper=IJVRA2603499

About Publisher

ISSN: 2984-8903 | IMPACT FACTOR: 9.12 Calculated By Google Scholar | ESTD YEAR: 2023

An International UGC CARE JOURNAL PUBLICATION Low Cost (₹599), Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 9.12 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage, Crossref DOI Member Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJVRA (IJ Publication) Janvi Wave

Licence

© 2026 - Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

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