Predicting Mental Health Issues Using Machine Learning Techniques

Kotapati Sai Prasanna, Yagala Suchitra, Talari Umadevi, Gaddam Drakshayani, Kondakrindi Sucharitha

2025

Abstract

MANAS stands as an advanced mental health chatbot which uses generative AI combined with prompt engineering together with natural language processing (NLP) to give custom care for people experiencing mental health problems. MANAS applies a broad personality assessment method to customize dialogues with users through a combination of their emotional profile and psychological traits made up of openness, conscientiousness, extraversion, agreeableness, and neuroticism. The system contains crisis detection mechanisms which can identify suicidal behavior and self-harm so it can activate emergency response protocols. Through its detailed report generation feature MANAS compiles a summary of patient interactions as well as emotional states and emerging concerns which healthcare providers can access to support assessment and treatment. The system resolves current mental health chatbot restrictions through its single interactive solution that features customized assistance along with distress handling capabilities and healthcare exchange capabilities. The implementation uses OpenAI API (GPT-3.5) together with NLTK and spaCy as the underlying library systems.

Paper Citation

in Harvard Style

Prasanna K., Suchitra Y., Umadevi T., Drakshayani G. and Sucharitha K. (2025). Predicting Mental Health Issues Using Machine Learning Techniques. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 108-114. DOI: 10.5220/0013908900004919

in Bibtex Style

@conference{icrdicct`2525,
author={Kotapati Prasanna and Yagala Suchitra and Talari Umadevi and Gaddam Drakshayani and Kondakrindi Sucharitha},
title={Predicting Mental Health Issues Using Machine Learning Techniques},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={108-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013908900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Predicting Mental Health Issues Using Machine Learning Techniques
SN - 978-989-758-777-1
AU - Prasanna K.
AU - Suchitra Y.
AU - Umadevi T.
AU - Drakshayani G.
AU - Sucharitha K.
PY - 2025
SP - 108
EP - 114
DO - 10.5220/0013908900004919
PB - SciTePress