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@article{178172,
        author = {Samskrithi and Arshiya Begum and Kavana T S and Sakshi Suryavanshi and Dr Jagadeesh Pujari and Prof Varsha Jadhav},
        title = {A Multi-Modal Web-Based System for Parkinson’s Disease Detection Using Spiral Drawing and Voice Test},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5444-5447},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178172},
        abstract = {Parkinson’s disease (PD) affects motor and speech functions, making early detection crucial. This paper presents a web-based system that uses spiral drawing and voice analysis to detect PD symptoms. Users draw spirals on a browser canvas or upload voice samples, which are analyzed using image processing and audio feature extraction techniques. Machine learning models classify the inputs, and a combined result indicates whether the user may have PD. The platform supports remote screening and is designed for ease of use and scalability.},
        keywords = {Parkinson’s Disease, Spiral Drawing Test, Voice Analysis, Machine Learning, Web Application.},
        month = {May},
        }