Cognitive Wellness Assistant Using Artificial Intelligence

Cognitive wellness and mental well-being have be-come increasingly significant in today’s fast-paced and demand-ing environments. Academic pressure, workplace stress, social isolation, and rapid lifestyle changes have contributed to rising emotional and psychological challenges across diverse population groups. Despite growing awareness of mental health issues, access to timely and affordable professional support remains limited due to factors such as social stigma, high costs, and the shortage of trained professionals. In this context, Artificial Intelligence (AI) offers a scalable and accessible approach to providing preliminary cognitive and emotional support. This paper presents the design of a Cognitive Wellness Assistant using Artificial Intelligence that aims to deliver empathetic, adaptive, and privacy-conscious support through natural conversational interaction. The proposed system integrates conversational intel-ligence with emotion and sentiment analysis to interpret user inputs and generate emotionally appropriate responses. Both text-based and voice-based interaction modes are supported to enhance accessibility and user comfort. Context and memory management mechanisms are incorporated to ensure conversa-tional continuity and personalized interaction while maintaining ethical boundaries. The assistant is designed as a supportive companion rather than a replacement for professional mental healthcare services. Overall, the proposed approach demonstrates how responsibly designed AI-driven conversational systems can contribute to accessible, human-centered, and ethically aligned cognitive wellness support.

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Publication Details

Published
2026-06-08
DOI
https://doi.org/10.64643/jatirv2i6-140256-001
Primary Topic
Digital Mental Health Interventions
Type
article
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article

Cognitive Wellness Assistant Using Artificial Intelligence

Himanshu Rajpoot, RITIK KUMAR, Akhilendra Khare, Vikas Kumar
Digital Mental Health Interventions
article

Cognitive Wellness Assistant Using Artificial Intelligence

Himanshu Rajpoot, RITIK KUMAR, Akhilendra Khare, Vikas Kumar
article en

Abstract

Cognitive wellness and mental well-being have be-come increasingly significant in today’s fast-paced and demand-ing environments. Academic pressure, workplace stress, social isolation, and rapid lifestyle changes have contributed to rising emotional and psychological challenges across diverse population groups. Despite growing awareness of mental health issues, access to timely and affordable professional support remains limited due to factors such as social stigma, high costs, and the shortage of trained professionals. In this context, Artificial Intelligence (AI) offers a scalable and accessible approach to providing preliminary cognitive and emotional support. This paper presents the design of a Cognitive Wellness Assistant using Artificial Intelligence that aims to deliver empathetic, adaptive, and privacy-conscious support through natural conversational interaction. The proposed system integrates conversational intel-ligence with emotion and sentiment analysis to interpret user inputs and generate emotionally appropriate responses. Both text-based and voice-based interaction modes are supported to enhance accessibility and user comfort. Context and memory management mechanisms are incorporated to ensure conversa-tional continuity and personalized interaction while maintaining ethical boundaries. The assistant is designed as a supportive companion rather than a replacement for professional mental healthcare services. Overall, the proposed approach demonstrates how responsibly designed AI-driven conversational systems can contribute to accessible, human-centered, and ethically aligned cognitive wellness support.

Vol. 2(6)
Galgotias University (IN)
Openalex Percentile: Top 6%
Digital Mental Health Interventions
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Cognitive Wellness Assistant Using Artificial Intelligence — Himanshu Rajpoot, RITIK KUMAR, et al. · (2026) | TGRS Research Map | TGRS