Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4105
Title: Mental health tracker app
Authors: Qureshi, Rehaal
Siddiqui, Arbaaz Gaffar (19CO58)
Shaikh, Shahid Zakir Husen (17CO46)
Siddiki, Jasmin Nizam (18CO13)
Jamadar, Abdussamad (18CO25)
Keywords: Project Report - CO
Issue Date: May-2023
Publisher: AIKTC
Series/Report no.: PE0732;
Abstract: Mental Health is a very important issue in today’s world . As in these days, a lot of people now working from home and even companies are preferring work from home, the mental health situation of the people has nose-dived to unbelievable levels. The main objective of the proposed project focuses on building an application that will try to collect the mental state of the user and provide close to accurate remedies – assigning tasks, connecting a doctor( or psychiatrist) etc. The application tries to find if an app user is suffering from any mental issue by asking a few psychological questions and then based on those answers, it suggests measures that the app users can believe to recover from their issue and all this happens based on how the user answers the questions. Based on the answers that the users provide, the application will suggest tasks to them. The application will also take timely updates from the user and will update the data to the dashboard Keywords: Anxiety, Depression, Android Application, Prediction, Sentiment Analysis, NLP, Machine Learning, Classification, Mental Health.
URI: http://localhost:8080/xmlui/handle/123456789/4105
Appears in Collections:Computer Engineering - Project Reports

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