For a healthy existence, medical treatment is highly vital. Psychological health problems are becoming more common, which makes it even more important to have good monitoring methods. The idea is to create a chatbot that can use artificial intelligence to investigate the problem and provide the information that is needed about it. Chatbots help individuals understand health diagnostics based on symptoms and provide them good health recommendations. They also make it easier for humans and computers to talk to each other. The proposed system intends to deliver ongoing and individualized mental health assessments, giving those who need help a proactive and easy-to-reach option. This chatbot system was made using machine learning (ML), natural language processing (NLP), and recurrent neural networks (RNN). The technology uses machine learning (ML) techniques to look at text data and find useful information from how people engage with the chatbot. Some of the most important features of the suggested mental health monitoring system include real-time sentiment analysis, mood identification, and the ability to find possible threat factors that might be affecting someone’s mental health. This system is part of the developing area of digital mental health therapies. It provides scalable and easy-to-use solutions to help with the rising mental health problems throughout the world. This method also lowers the chances of crises and improves general health.