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

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.

I. Introduction

With the modern, networking environment coming into being, stress is universal today, triggering various psychic states in all people within all spheres of life. With the urgency for innovative solutions to address this concern, our initiative, titled "AI-Powered Stress Analysis: By merging the two innovations, namely, OpenAI and NoSQL database, "Aprises" joins hands to blends AI and new tech age Database, with the intention of upgrading stress management. The aims of our project is, using OpenAI - an accessible, user-friendly natural language processing instrument - and a dynamic NoSQL database, to design an efficient stress analysis and treatment system. Development focus should be on using available technologies to decode human language intricacies as well as manage all the data systematically and effectively.