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dc.contributor.author Esha Qaiser, 01-131222-014
dc.contributor.author Rafia Tariq, 01-131222-039
dc.date.accessioned 2026-06-18T05:45:28Z
dc.date.available 2026-06-18T05:45:28Z
dc.date.issued 2026
dc.identifier.uri http://hdl.handle.net/123456789/21292
dc.description Supervised by Engr. Bilal Ashraf Awan en_US
dc.description.abstract We Matter is an online tool created to assist people with their mental well-being through a secure and easy-to-access solution. The application has a variety of features, such as sessions with specialists, discussion boards among peers, a personal journal, mood monitoring, AI chatbot, and self-assessment modules. The main goal of this initiative is to blend clinical and self-help approaches in one product by providing professional guidance and community support in parallel. The program enables its users to have anonymous conversations in online forums, book meetings with licensed therapists, and monitor their improvement using embedded tools. Regarding technologies, the application utilizes modern innovations in web programming. React is applied to create the front-end of the system, whereas Node.js and Express manage backend operations. MongoDB is used for storing information about users efficiently. Moreover, we incorporated WebSockets to provide immediate messaging between customers and specialists in real time. Finally, We Matter represents innovative ideas in the digital mental health sector because it integrates clinical solutions, AI, and community support into one service. en_US
dc.language.iso en en_US
dc.publisher Software Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BSE;P-3156
dc.subject Software Engineering en_US
dc.subject Depression and DASS-21 Scale en_US
dc.title We Matter en_US
dc.type Project Reports en_US


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