Article

1. Volume : 1
2. Issue : 4 (October-December)
3. Month : October-December (2024)

Chatbot for Mental Health Support utilizing Neural Network Technologies

Author : T Somasekhar , S Mizba Nawaz , G Harsha Veena , P Nandini , C Akila

DOI : https://doi.org/10.63328/IJCSER-V1RI4P12

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 well-being. 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 chatbot's 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 stigma-free resource, contributing to early intervention, de-stigmatization, and improved mental health support for users.