Retracted: Machine Learning Approach for Human Brain Counselling
Jayashri D. Palkar, Chetana Hasmukh Jain, K. Kashinath, Anusha Omkar Vaidya, Vishal Borate, Yogesh Kisan Mali
Abstract
An innovative step in treating the mental health issues common to college students is the PEACE web tool. With the use of cutting-edge machine learning (ML) algorithms, this platform tailors counselling advice to each student’s unique needs. By means of its creative methodology, PEACE not only pinpoints the unique needs of students, but also pairs them with counsellors who have specialized knowledge, which increases the counselling process’ effectiveness. PEACE seeks to remove obstacles standing in the way of students seeking mental health assistance by offering a private and convenient online platform for counselling services. By streamlining the matching process, the application’s machine learning algorithm guarantees that kids are matched with counsellors who are qualified to manage their challenges. This strategy not only helps to lessen the stigma associated with mental health issues, but it also makes support services more easily accessible, which eventually creates an atmosphere that is better for students’ mental health in general. Furthermore, the PEACE application is a noteworthy development in the field of mental health support in addition to providing a prompt resolution to the urgent problems encountered by college students. PEACE advances the field of mental health care by incorporating state-of-the-art technologies into the counselling process, opening the door for more effective and individualized therapies. As such, the application is a ray of hope, providing a revolutionary method for resolving mental health issues among college students.