T Somasekhar , S Mizba Nawaz , G Harsha Veena , P Nandini , C Akila 1 4 (October-December) The abstract outlines the concept and purpose of a Mental Health Assistant Chatbot employing advanced Neural Network techniques This chatbot aims to provide vital support and resources for individuals dealing with mental health challenges Utilizing Neural Network architectures the chatbot engages in empathetic conversations offering users a safe and confidential platform to discuss their emotional wellbeing The chatbot employs sentiment analysis and context comprehension to assess users mental states and emotional needs accurately It provides personalized coping strategies resources and referrals to professional help based on users inputs Trained on diverse datasets of mental health information the chatbots Neural Network model enables it to generate empathetic and understanding responses The continuous learning process ensures that the chatbot evolves its understanding of user concerns and keeps up with the dynamic landscape of mental health conversations This Mental Health Assistant Chatbot powered by Neural Network techniques serves as an accessible and stigmafree resource contributing to early intervention destigmatization and improved mental health support for users Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026