Mental Health Chatbot

Mental health has become a growing concern in recent years, with many individuals struggling to access timely, affordable, and stigma-free support. To address this gap, this project presents a Mental Health Chatbot — a Java-based desktop applicationdesigned to offer basic emotional support through real-time, empathetic conversation. Using rulebased sentiment analysis, the chatbot detects user mood from text input and provides appropriate responses tailored to emotions such as happiness,sadness, anxiety, or neutrality. The system utilizes Java Swing for the user interface and MySQL forsecurely logging user interactions, ensuring both usability and data persistence. While not a substitute for professional mental health care, the chatbot serves as a supportive, anonymous space for users to express themselves and receive encouragement, laying a foundation for future enhancements with NLP and AI-driven emotional intelligence.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-02
DOI
https://doi.org/10.5281/zenodo.15577968
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
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article

Mental Health Chatbot

Zenodo (CERN European Organization for Nuclear Research)
Digital Mental Health Interventions
article

Mental Health Chatbot

article en

Abstract

Mental health has become a growing concern in recent years, with many individuals struggling to access timely, affordable, and stigma-free support. To address this gap, this project presents a Mental Health Chatbot — a Java-based desktop applicationdesigned to offer basic emotional support through real-time, empathetic conversation. Using rulebased sentiment analysis, the chatbot detects user mood from text input and provides appropriate responses tailored to emotions such as happiness,sadness, anxiety, or neutrality. The system utilizes Java Swing for the user interface and MySQL forsecurely logging user interactions, ensuring both usability and data persistence. While not a substitute for professional mental health care, the chatbot serves as a supportive, anonymous space for users to express themselves and receive encouragement, laying a foundation for future enhancements with NLP and AI-driven emotional intelligence.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Digital Mental Health Interventions
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