E. E. OBASOHAN

The rising prevalence of mental health challenges globally, coupled with limited access to timely psychological support, has highlighted the need for innovative technological solutions. This study focuses on the development of an AI-powered chatbot designed to provide mental health support by offering real-time, accessible, and personalized interactions to users experiencing stress, anxiety, or depressive symptoms. The research involved designing and implementing a conversational agent capable of understanding natural language inputs, delivering evidence-based interventions, and directing users to professional help when necessary. A prototype system was developed using machine learning and natural language processing techniques, with performance evaluated through user engagement, response accuracy, and perceived helpfulness. Findings indicate that AI-powered chatbots can serve as a supplementary tool for mental health support, offering continuous availability and reducing barriers to care. The study underscores the potential of integrating artificial intelligence into mental health services, providing an accessible platform for early intervention and emotional assistance.

Chat bots typically provide a text-based user interface, allowing the user to type commands and receive text as well as text to speech response. Chat bots are usually stateful services, remembering previous commands in order to provide functionality. When chat bot technology is integrated with popular web services it can be utilized securely by an even larger audience. The college enquiry chat bot will be built using artificial algorithms that analyses user’s queries and understand user’s message. This project involves using an artificial conversational entity (chatbot) to ask questions about college and receive responses. This System is a web application that answers the student's question. Students simply need to ask questions through the chatbot. Students can chat in any format; the user does not have to follow a particular format. The student can stay informed about college activities thanks to this system. This proposed chatbot is developed using the Google Dialog flow framework. Dialog flow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into mobile app, web application, device, bot, and interactive voice response system.