Mental Health Tracker Using Mobile Application
Ms. Chavhan Nikita, Ms. Kotme Madhuri, Ms. Magar Sarika, Ms. Asane Pallavi, Prof. Moin S. V.
The project focuses on building a mental health tracker. You will try to get an idea of the mental state of your user (in the least intrusive ways), find out if they are suffering and then suggest measures they can take to get out of their present condition. A user answers some questions and based on the answers that they provide, you will suggest tasks to them and maintain a record of their mental state for displaying on a dashboard. —Mental disorders are widespread in countries all over the world. Nevertheless, there is a global shortage in human resources delivering mental health services. Leaving people with mental disorders untreated may increase suicide attempts and mortality. To address this matter of limited resources, conversational agents have gained momentum in the last years. In this work, we introduce, a mobile application with integrated chatbot that implements methods from cognitive behaviour therapy (CBT) to support mentally ill people in regulating emotions and dealing with thoughts and feel with that implements methods from cognitive behaviour therapy (CBT) to support mentally ill people in regulating emotions and dealing with thoughts and feelings ings. Application asks the user on a daily basis on events that occurred and on emotions. It determines automatically the basic emotion of a user from the natural language input using natural language processing and a lexicon-based approach. Depending on the emotion, an appropriate measurement such as activities or mindfulness exercises are suggested by application
Emotional well-being, Machine learning, Authentication, Suggestion
Mental Health Tracker Using Mobile Application. Ms. Chavhan Nikita, Ms. Kotme Madhuri, Ms. Magar Sarika, Ms. Asane Pallavi, Prof. Moin S. V.. 2022. IJIRCT, Volume 8, Issue 3. Pages 1-4. https://www.ijirct.org/viewPaper.php?paperId=2203001