AI-Driven Stress Analysis and Management: A Novel Approach Leveraging OpenAI and NoSQL Databases to Empower Students in Stress Management and Promote Overall Student Well-being and Academic Progression

AI-Driven Stress Analysis and Management: A Novel Approach Leveraging OpenAI and NoSQL Databases to Empower Students in Stress Management and Promote Overall Student Well-being and Academic Progression

연구 분야: Databases

학회: 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA)

Now a days, students are under a lot of stress due to social issues and schoolwork. Additionally, they use smart devices excessively, which negatively impacts their mental health. an online application that allows users to actively interact with the system to get recommendations and insights specific to their level of stress. This ground-breaking fusion establishes the foundation for an approachable and proactive stress-reduction solution. This project aims to produce a novel stress analysis tool by integrating NoSQL databases with OpenAI's superior natural language processing, specifically the GPT-3.5 model. Real-time stress analysis is made possible by the system's ability to collect extensive stress-related data from users by utilizing OpenAI's superior language understanding skills. Scalability is enhanced by the incorporation of NoSQL databases, which guarantee effective unstructured data retrieval and storage.