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Development of a Smart Mental Health Support System
- Publication Year :
- 2023
- Publisher :
- ScienceOpen, 2023.
-
Abstract
- We know that many people suffer from depression, anxiety, stress, hypertension, and many more mental illnesses in this pandemic situation. As a result, the condition of their mental health is getting bad to worse. However, very few of them can consult a psychiatrist, therapist, or professional who'll guide them properly to get rid of their problems. Keeping that in mind, we came up with an idea to build an intelligent web app that will help people suffering from mental health but not consult a doctor/psychiatrist. This system allows professionals to check and follow up on their patients from remote areas. Both patients and professionals can communicate through audio, video, voice, and text messages. Users, as a patient, can also directly search for professional psychiatrists/ doctors or consultants and request appointments through the app to get guidelines. Professionals can check patients' history, review appointments, accept them, schedule them, and provide guidelines for improvement. Patients will also have the facility to get a quick in-app therapy to improve their mindset if they feel they're not okay, which includes breathing exercise, some cardio exercise, a short audio clip on a motivational story, and a feature that will allow expressing user's hidden thoughts or some words they can share with our live chat agent. This system can play a significant role in the life of the people who are introverts, shy from sharing their mental health issues, and the people who don't have the opportunity to consult a mental health professional from their position directly. The overall system has been tested in a lab environment to ensure the best user experience, including a very user-friendly interface. It shows more efficiency in its service to help people countrywide who are suffering from mental illness.
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........4bc5160c30955e04efb5b3c6e6bd8a7a
- Full Text :
- https://doi.org/10.14293/s2199-1006.1.sor-.ppnd4ju.v1