AI Driven Mental Health Chatbot for Personalized Therapy Support Using Machine Learning, NLP and Emotional Intelligence Framework

Older adults often face significant challenges in accessing timely mental health and healthcare support due to physical limitations, social isolation, and difficulties in using modern digital technologies. Traditional healthcare systems are not always capable of providing continuous emotional and medical assistance. This paper proposes an AI-based intelligent chatbot designed to deliver personalized mental health and healthcare support for older adults. The system integrates Natural Language Processing (NLP), sentiment analysis, machine learning, and voice-enabled interfaces to provide empathetic conversations, medication reminders, health information, and emergency safety escalation. The chatbot continuously learns user behavior and preferences to offer adaptive and context-aware responses. Experimental evaluation shows that the proposed system improves accessibility, emotional well-being, and user satisfaction while reducing technological barriers for elderly users. The solution demonstrates a scalable and effective approach to enhancing digital healthcare services for older adults. The proposed approach emphasizes low computational complexity and ease of deployment, making it suitable for real-world environments such as homes, assisted living facilities, and community healthcare centers. By combining emotional intelligence with practical healthcare support, the system contributes toward building a more inclusive and human-centered digital healthcare ecosystem.