MindMend: Mental Health Support System

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Ms. Sakshi Chavan
Ms. Pranali Chavan
Ms. Archana Ghadage
Mr. Ganesh Rane
Prof. V. D. Chavan

Abstract

Mental health is a critical aspect of overall well- being, yet barriers such as stigma, limited access, and high costs often prevent individuals from seeking timely support. MindMend: A Mental Health Support System aims to bridge this gap by providing a comprehensive platform offering virtual therapy sessions, AI-driven emotional support, mood tracking, and a crisis detection module that identifies high-risk cases and escalates them to professional counselors or helplines for immediate intervention. Leveraging cutting-edge technology, the system facilitates personalized mental health care through user-friendly interfaces and intelligent algorithms. The virtual therapy sessions create a safe and anonymous space for users to explore their emotions and gain insights. The AI component analyzes user inputs, recognizes emotional cues, and provides tailored resources and empathetic responses, ensuring immediate support. The mood tracking feature also enables users to monitor their emotional patterns over time, empowering them to make informed decisions about their mental health journey. This paper reviews the functionalities, technical architecture, and societal impact of MindMend, highlighting its potential to address the growing mental health crisis. By integrating technology and empathy, MindMend aspires to create a world where mental health support is accessible to everyone, anytime, anywhere.

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How to Cite
Chavan, M. S., Chavan, M. P., Ghadage, M. A., Rane, M. G., & Chavan , P. V. D. (2025). MindMend: Mental Health Support System. International Journal of Recent Advances in Engineering and Technology, 14(2s), 210–215. Retrieved from https://journals.mriindia.com/index.php/ijraet/article/view/1459
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