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@article{197957,
        author = {YASH BHILARE and OM LAHANDE and VAISHNAVI NAIKWADE and Prof. ANAMIKA SHUKLA},
        title = {Campus Care: An AI-Powered Students Wellness and Campus Management Platform},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {7311-7318},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197957},
        abstract = {Student mental health is a problem in universities. Around 30 to 50 percent of students at universities have anxiety or depression that's serious enough to need help but less than 25 percent of them actually go to see a professional. This shows that there is an issue that needs to be fixed. Most universities only do something when a problem arises they do not have systems in place to help students when they need it.
This paper is about Campus Care, a platform that uses artificial intelligence to help students with their mental health and to manage the university campus. Campus Care has features, including a way for students to track their mood write in a journal talk to someone using a computer program play games and connect with other students. It also has features for teachers and administrators to use. Campus Care was made using React, Supabase and OpenAI GPT. It has areas for students, teachers and administrators and it is very secure.
The results of testing Campus Care are very good. We tested it 242 times. It worked correctly 99.2 percent of the time. We also looked at how people felt about using it. It was accurate 91.5 percent of the time. People who used it said it was very easy to use giving it a score of 86.1 out of 100 which is excellent. Campus Care shows that if universities use intelligence and prioritize privacy they can really help students, with their mental health and provide them with the support they need. Campus Care is an example of how student mental health can be improved with the right tools and support.},
        keywords = {Artificial Intelligence, Student Wellness, Mental Health, Gamification, Role-Based Access Control, Sentiment Analysis, OpenAI GPT, Supabase, React},
        month = {April},
        }