Predicting mental health state of an IT company environment using CNN and time-series predictions

dc.contributor.advisorSilva, T
dc.contributor.authorAbeydeera, SS
dc.date.accept2023
dc.date.accessioned2025-08-19T06:14:40Z
dc.date.issued2023
dc.description.abstractTechnology is a fascinating subject. It changes rapidly in a way that makes us curious about what new product will change the world entirely within the next few hours, days, or months. When it comes to modern technology, artificial intelligence (AI) is playing a major role in the industry. Because, with the advancement of AI, most of the complex tasks can be handled by AI systems. Apart from taking care of complex tasks, AI can help people to enhance their quality of life. In order to enhance the quality of life, people have developed smart gadgets like wearable small health measuring and prediction gadgets, recommendation systems like hairstyle recommendations, makeup recommendations, food recommendations, and so on. Apart from them, there are so many different types of applications to improve the quality of life. And another concept is emerging in the modern world. That is predicting human mental status for upcoming months and adjusting the environment accordingly to maintain good mental status. If people can make adjust the environments for their day-to-day life, it will ultimately increase the quality of everything. Within a night or two people can not achieve this hard goal. It will take many years to achieve. But researchers all around the world have been working on several kinds of applications for many years. After completing all of these small tasks in the future, people will integrate everything into one system and that could make a healthy environment for humankind.
dc.identifier.accnoTH5391
dc.identifier.citationAbeydeera, S.S. (2023). Predicting mental health state of an IT company environment using CNN and time-series predictions [Master’s theses, University of Moratuwa]. , University of Moratuwa]. Institutional Repository University of Moratuwa. https://dl.lib.uom.lk/handle/123/23980
dc.identifier.degreeMSc in Artificial Intelligence
dc.identifier.departmentDepartment of Computational Mathematics
dc.identifier.facultyIT
dc.identifier.urihttps://dl.lib.uom.lk/handle/123/23980
dc.language.isoen
dc.subjectEMOTION CLASSIFICATION
dc.subjectMACHINE LEARNING
dc.subjectCONVOLUTIONAL NEURAL NETWORKS
dc.subjectDEEP LEARNING
dc.subjectSTATISTICAL METHODS-Time-Series Analysis
dc.subjectCOMPUTATIONAL MATHEMATICS-Dissertation
dc.subjectMSc in Artificial Intelligence
dc.titlePredicting mental health state of an IT company environment using CNN and time-series predictions
dc.typeThesis-Abstract

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