Abstract
As the COVID-19 pandemic continues, the need for a better health care facility is highlighted more than ever. Besides physical health, mental health conditions have become a significant concern. Unfortunately, there are few opportunities for people to receive mental health care. There are inadequate facilities for seeking mental health support even in big cities, let alone remote areas. This paper presents the structure and implementation procedures for a mental health support system combining technology and professionals. The system is a web platform where mental health seekers can register and use functionalities like NLP-based chatbot for personality assessment, chatting with like-minded people, and one-to-one video conferencing with a mental health professional. The video calling feature of the system has emotion detection capabilities using computer vision. The system also includes downloadable prescription facilities and a payment gateway for secure transactions. From a technological aspect, the conversational NLP-based chatbot and computer vision-powered video calling are the system's most important features. The system has a documentation facility to analyze the mental health condition over time. The web platform is built using React.js for the frontend and Express.js for the backend. MongoDB is used as the database of the platform. The NLP chatbot is built on a three-layered deep neural network model that is programmed in the Python language and uses the NLTK, TensorFlow, and Keras sequential API. Video conference is one of the most important features of the platform. To create the video calling feature, Express.js, Socket.io, and Socket.io-client have been used. The emotion detection feature is implemented on video conferences using computer vision, Haar Cascade, and TensorFlow. All the implemented features are tested and work fine. The targeted users for the platform are teenagers, youth, and the middle-aged population. Mental health-seeking is still considered taboo in some societies today. Apart from basic established facilities, this social dilemma of undergoing treatment for mental health is causing severe damage to individuals. A solution to this problem can be a remote platform for mental health support. With this goal in mind, this system is designed to provide mental health support to people remotely from anywhere worldwide.
Highlights
Introduction3.46 million people have died, and many are waiting in line
The whole world is going through the COVID-19 pandemic
The methods and resources used in this system for building a mental health care system using conversational Natural language processing (NLP) and computer vision are discussed in this part
Summary
3.46 million people have died, and many are waiting in line. Almost every country in the world has gone through some lockdown. This whole situation has severely affected people’s mental health. It has an impact on people’s thoughts, Computational and Mathematical Methods in Medicine feelings, and behaviors. It has an effect on how people manage stress, socialize, and make choices. Almost 970 million people are suffering from mental health issues. In Bangladesh, over 7 million individuals suffer from anxiety and depression disorders [2]. Depression, stress, and anxiety levels in Bangladesh have been found to be as high as 54.3%, 59.0%, and 64.8%, respectively [3]
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