International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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Mental Health Guidance and Support Bot

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Mental Health Guidance and Support Bot

Abhishek Baghel 1, Divyansh Sharma2, Garvit Khandelwal3, Dr. Pooja Sharma4

1Abhishek Baghel, School Of Engineering And Technology, Dy Patil University Ambi Pune

2 Divyansh Sharma, School Of Engineering And Technology, Dy Patil University Ambi Pune

3 Garvit Khandelwal, School Of Engineering And Technology, Dy Patil University Ambi Pune

4 Dr. Pooja Sharma, Associate Professor Department Of Computer Engineering, School Of Engineering And Technology, Dy Patil University Ambi Pune

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Abstract -

In an era characterized by the relentless pace of life and the escalating challenges to mental well-being, the emergence of the Mental Health Support Bot represents a revolutionary advancement in addressing the universal struggle with stress, anxiety, and depression. This abstract delves deeper into the conceptualization, methodology, results, and broader implications of this virtual companion, highlighting its transformative impact on the landscape of mental health support.

The Mental Health Support Bot is rooted in the synergy of cutting-edge artificial intelligence and a profound understanding of the nuanced nature of mental health challenges. Its conceptualization arises from the recognition that these challenges are not confined to specific demographics but are pervasive, transcending geographical, cultural, and temporal boundaries. The bot is designed to be a dynamic and responsive virtual companion that tailors its approach to the unique needs of each individual user.

Powered by advanced artificial intelligence, the Support Bot employs adaptive algorithms that continuously learn and evolve based on user interactions.

The profound impact of the Mental Health Support Bot is reflected in its ability to transcend traditional limitations of mental health support systems. Its continuous accessibility, operating 24/7, ensures that users can seek assistance whenever the need arises, breaking down the temporal constraints of conventional models. Moreover, the bot's adaptability to users' schedules, whether during quiet moments in the night or amid the rush of a busy day, enhances the likelihood of individuals seeking timely assistance. The results signify a paradigm shift in mental health support, moving towards a more user-centric and proactive approach.


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