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dc.contributor.author 03-134212-023 Daniyal Shan Rao, 03-134212-028 Hafiz Muneeb Ibrahim
dc.date.accessioned 2026-04-20T10:42:38Z
dc.date.available 2026-04-20T10:42:38Z
dc.date.issued 2025-06-01
dc.identifier.uri http://hdl.handle.net/123456789/21039
dc.description Mr. Junaid Nasir en_US
dc.description.abstract In the last few years, mental health issues such as anxiety, depression, and stress have been significantly increasing, both among the young and older people and also impacting their well-being and productivity. Even though education on mental health has increased, systematic impediments such as society prohibitions, lack of financial and other resources are significantly discouraging inhabitants from seeking professional assistance in time. In order to address these challenges, MentalEase has been developed as a cross-platform mobile app for the following reasons: to provide a first AI-powered diagnosis and to enable easy access to professional therapists. By applying machine algorithm such as Random Forest classification algorithm, the application analyzes users’ responses to the DASS-42, TIPI-10 questionnaire in order to understand the level of mental health condition. Built using Flutter for cross-platform compatibility and Firebase for secure backend services, MentalEase offers features such as AI-based mental health diagnosis, therapist profile viewing, appointment booking, Realtime chat and payments. Under this system, privacy of the user gets protected, the resources for mental health become more accessible and the users get encouraged to seek support fear free of stigmatization. MentalEase is an advance in converting mental health care to more accessible, affordable and confidential using the technology. en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries ;BULC1431
dc.title MentalEase en_US


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