AI Chatbot for Mental Health Support

  • Kaushik G
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Abstract

Almost one billion individuals worldwide suffer from mental health problems.  Still, many of them are unable to receive the  urgent  assistance  they  require due  to  barriers like  limited access to  care,  a  lack  of prompt support,  and  pervasive  social stigma.  The  state-of-the-art chatbot  for  mental  health  support driven  by AI JeevaAI offers a revolutionary solution by offering non-governmental  organisations (NGOs),  healthcare  providers, and  educational  institutions  round-the-clock,  anonymous,   and cost-free  assistance.  By combining  Google’s  Gemini  model  for therapeutic and sympathetic  dialogue, a Sentence Transformers- based  sentiment  analysis  engine  to  identify  complex  emotional states,  and  an  intuitive  Streamlit interface  designed  for accessi- bility, JeevaAI provides  individualised  coping strategies  and  ac- curately  prioritises crisis situations.  The chatbot,  which complies fully with GDPR  and  HIPAA  rules,  protects  user  privacy  while serving marginalised communities  and  groups  that  are  afraid  to ask for assistance because of the stigma. By providing  immediate, scalable support  that enables people to handle their mental health issues  on  their  own  terms,  JeevaAI  lowers  systemic  obstacles when used in conjunction  with professional  therapy.  Strong  user satisfaction  with  the  platform’s  anonymity,  responsiveness, and usability  is indicated  by preliminary results from  pilot  testing; nevertheless, continued work is necessary to improve cultural sensitivity and uphold strict clinical safety requirements. JeevaAI has the potential  to completely transform the democratisation of mental  health  treatment by promoting  a user-centred, inclusive, and  globally  scalable  approach. This  would  enable  millions  of people to obtain meaningful support  and have a significant impact on the world  at large.

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APA

Kaushik, G. (2025). AI Chatbot for Mental Health Support. Journal of Integrated Engineering Sciences, 1(2), 40–50. https://doi.org/10.63686/jies.v1i2010

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