Machine Learning and Web Integrated Chatting Forum Which Detected Mental Health of the User

Abstract

Nowadays in this 21st century, youth is mainly leaning on chatting forums instead of real-life conversations trying to convey their emotions to their close friends with the help of texts, emojis, etc. On the contrary, the receiver may find it difficult to understand the emotions due to mistyped texts, misunderstandings, or any other issues. Henceforth, this bafflement may lead to more depression, and anxiety and may lead to serious threats to life like suicides. Among all the reasons, almost one-half of the people attempt suicide due to depression, anxiety is the main reason as other people cannot understand them. To overcome this problem of the understanding mood of the people and motivating them, the proposed model can be one of the best applications which can help the depressed user to overcome his/her stress, anxiety, etc. with the help of motivational quotes. The proposed model is a chat-based forum that is designed to monitor the mental health of the user the model consists of two parts: (i) Web Development; (ii) Machine Learning. This application is built with a Machine Learning algorithm and integrated with web development. Web scraping and creation of datasets have been done with the help of ‘Tweet’ and ‘Pandas’. ML model is trained using ‘ScikitLearn’. Further, the Machine Learning model is integrated with the chat-based Forum web application with the help of ‘Flask’.