• P.Samuel Devakumar
• R.Bala Surya
• S.Hareeswaran
• 4S.Sanjeev Saravanan

In recent years, the demand for mental health support has surged, necessitating innovative solutions to bridge the gap between individuals in distress and professional help. One such solution is the development of rule-based mental health chatbots, which leverage predefined rules and decision trees to offer guidance, support, and resources to users experiencing emotional challenges. This paper presents the design and implementation of a rule-based mental health chatbot using Python. The chatbot leverages predefined rules and decision trees to provide personalized responses and support to users facing emotional challenges. The architecture of the chatbot is built upon natural language processing (NLP) techniques, enabling it to analyze user input, identify patterns, and match them to predefined rules. Through the utilization of libraries such as NLTK (Natural Language Toolkit), the chatbot Incorporates natural language understanding (NLU) techniques, such as tokenization and pattern matching, to interpret user inputs and trigger appropriate responses.Additionally, the chatbot incorporates empathy and sensitivity in its interactions through the incorporation of predefined empathetic responses and language patterns. The implementation also includes features for user engagement, such as providing coping strategies, resources, and referrals to mental health professionals when necessary.

— NATURAL LANGUAGE PROCESSING, NLTK , RULE BASED SYSTEM , TOKENIZATION, PATTERN MACHING.

"Wellness Whisperer Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.b749-b755, May-2024, Available :http://www.jetir.org/papers/JETIR2405189.pdf

"Wellness Whisperer Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppb749-b755, May-2024, Available at : http://www.jetir.org/papers/JETIR2405189.pdf