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@article{177714,
        author = {Yash Gupta and Dr. Yashveer Singh and Shreyansh Bhati and Shagun Rastogi},
        title = {Multiple Disease Prediction System Webapp},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1264-1269},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177714},
        abstract = {This paper presents an AI-powered web application designed for the early prediction of multiple chronic diseases, including diabetes, heart disease, and Parkinson’s disease. The system leverages machine learning algorithms trained on publicly available medical datasets to provide accurate and real-time health risk assessments. Our solution aims to assist both healthcare professionals and individuals by offering an accessible tool for preliminary diagnostics. Emphasis is placed on creating a lightweight, user-friendly interface with fast response times, while maintaining data privacy and interpretability of predictions. The platform demonstrates how artificial intelligence can enhance preventive healthcare through intelligent, scalable, and easily deployable web solutions.},
        keywords = {Artificial Intelligence, chronic disease prediction, machine learning, web application, diabetes, heart disease, Parkinson’s disease, healthcare technology},
        month = {May},
        }