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Author(s):

Mr.G.Vadivelmurugan | Ms.S.Yuvapriya | Ms.A.Iswarya
Keywords:

Student Mental Health, Artificial Intelligence, Natural Language Processing, Depression Analysis, Digital Health Platform, Mental Well-being, Personalized Support
Abstract:
The Increasing Prevalence Of Stress, Anxiety, And Depression Among Students Has Highlighted The Need For Accessible, Personalized, And Technology-driven Mental Health Support. This Project Proposes Mind Space, A Comprehensive Digital Platform Designed To Enhance Student Well-being Through Intelligent Monitoring, Assessment, And Intervention. At Its Core, The Platform Incorporates A Depression Analysis System That Leverages Artificial Intelligence (AI), Natural Language Processing (NLP), And Sentiment Analysis To Engage Users In Empathetic Conversations, Detect Linguistic Patterns Indicative Of Depression, And Provide Ongoing Assessments For Timely Intervention. The System Adapts Follow-ups And Recommendations Based On Symptom Severity, Enabling Personalized Mental Health Support. In Addition, The Platform Offers Mood Tracking, Self-assessment Tools, Anonymous Peer Support, Guided Mindfulness Exercises, And Access To Professional Counseling, Bridging The Gap Between Mental Health Needs And Resource Accessibility. Experimental Evaluation Demonstrates The Platform’s Effectiveness In Early Detection Of Depressive Symptoms, Enhancing Mental Health Care Accessibility, And Supporting Proactive Well-being Management Among Students.