Emotion Detection Application

A tétel rövid nézete
dc.contributor.advisorAdamkó, Attila
dc.contributor.authorHarjai, Pranay
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2023-04-28T07:53:40Z
dc.date.available2023-04-28T07:53:40Z
dc.date.created2023-04-27
dc.description.abstractMyEmotions is a mobile app designed to track and analyze a user's emotional state over time. The app uses machine learning algorithms and models to perform accurate emotion detection through facial expression recognition. It includes a range of features such as the ability to connect with friends, view moods in your surroundings on a map, interact with other users in various privacy settings, get personalized activity recommendations based on moods, and seek professional help with expert guidance on mental health. Firebase is used for storage, authorization, and security to ensure the safety and privacy of user data. The inclusion of analytics, mood timelines, and the ability to export data allows users to track their emotional health over time and share it with professionals to get precise care. The app is scalable and equipped to expand to a wider audience with minor adjustments, making it a beneficial tool for individuals to better understand and manage their emotions, improve their overall well-being, and connect with others.
dc.description.correctorN.I.
dc.description.courseComputer Science Engineering
dc.description.degreeBSc/BA
dc.format.extent38
dc.identifier.urihttps://hdl.handle.net/2437/351171
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectEmotions
dc.subjectExpression recognition
dc.subjectFirebase
dc.subjectMaps
dc.subjectMyEmotions
dc.subjectMobile Application
dc.subjectAndroid
dc.subject.dspaceDEENK Témalista::Informatika
dc.titleEmotion Detection Application
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