MOODPLUS - Personalized Mental Health Recommendation Software Solution

Mental health is a very real growing concern for millions of people in today's era now even working professionals and the common masses. Stress, anxiety and emotional burnout can adversely affect personal health as well as performance. The MOODPLUS is an AI-driven emotion-affordable system that gives personalized recommendations for entertainment and activities based on mood, to help individuals better manage their emotions. MOODPLUS uses state-of-the-art BERT with the training on Twitter Emotion Dataset to identify emotions from user input. Depending on the emotion found, activities like watching a movie / reading a book, listening to music or relaxation exercises can be recommended. These suggestions are age and taste specific as well as suited for current emotional state so that users get helpful suggestions. MOODPLUS improves the recommendations over time it uses Reinforcement learning, so that it learns from user returned reward and improves its recommendations.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/stcr62650.2025.11019229
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

MOODPLUS - Personalized Mental Health Recommendation Software Solution

Saravana Kumar R, E. Baby Anitha, S. Tamilselvan, L Arulmurugan et al.
Mental Health Research Topics
article

MOODPLUS - Personalized Mental Health Recommendation Software Solution

Saravana Kumar R, E. Baby Anitha, S. Tamilselvan, L Arulmurugan, R Agnes
article en

Abstract

Mental health is a very real growing concern for millions of people in today's era now even working professionals and the common masses. Stress, anxiety and emotional burnout can adversely affect personal health as well as performance. The MOODPLUS is an AI-driven emotion-affordable system that gives personalized recommendations for entertainment and activities based on mood, to help individuals better manage their emotions. MOODPLUS uses state-of-the-art BERT with the training on Twitter Emotion Dataset to identify emotions from user input. Depending on the emotion found, activities like watching a movie / reading a book, listening to music or relaxation exercises can be recommended. These suggestions are age and taste specific as well as suited for current emotional state so that users get helpful suggestions. MOODPLUS improves the recommendations over time it uses Reinforcement learning, so that it learns from user returned reward and improves its recommendations.

Vellore Institute of Technology University (IN)
Openalex Percentile: Top 87%
Mental Health Research Topics
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