Abstract—Major Depressive Disorder is a serious mental health issue that can have a significant impact on a person's quality of life, relationships, and overall wellbeing. In response to this growing concern, SOLWOE is a novel app designed to diagnose and treat depression in teenagers. SOLWOE offers two types of care to its users: guided care and self-care. Guided care allows users to book appointments with psychologists and psychiatrists, who can provide tailored treatment plans to help them manage their depression symptoms. Self-care, on the other hand, provides basic self-healing activities such as yoga and meditation to improve mental wellness. By offering both types of care, SOLWOE aims to provide comprehensive support to people struggling with depression. The app uses a regression algorithm to analyse and categorize the depression level of users from the questionnaires they fill. In addition to that the app asks the users to write their journal entries in order to keep track of their mental health being and records their statements using BERT algorithm.Additionally there is a web cam feature opted in this project where the application records the images of the user for a specified time frame and allows the images to run in a CNN Model to determine the emotions of the user.This simplifies the job of psychologists and psychiatrists, who can use the app's data to provide better care to their patients. Overall, SOLWOE is a promising tool for diagnosing and treating depression in people. Its combination of guided and self-care, along with its use of regression algorithms and deep learning model, offers a holistic approach to mental health care. By providing early intervention and support, SOLWOE has the potential to improve the lives of millions of teenagers worldwide

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