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@article{175374,
        author = {Balusani Vasanth Kumar and Akula Siva Ram Kiran and D. Vetriselvi},
        title = {Automated Multi-Disease Prediction Using AI and Python for Advanced Healthcare Diagnostics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2480-2484},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175374},
        abstract = {This project presents a Disease Detection System that predicts the likelihood of diseases based on user-reported symptoms rather than traditional diagnostic tests. Developed using Python and Flask for backend processing and HTML, CSS for the frontend, the system provides an interactive web-based platform for users to assess their health status.The system evaluates symptoms related to Diabetes, Heart Disease, Kidney Disease, and Liver Disease, referencing World Health Organization (WHO) guidelines for accuracy. Users input their symptoms through the website, and the system processes this data using predefined criteria stored in files. If the symptoms match a disease profile, the system notifies the user of a potential risk and strongly recommends consulting a medical professional. Otherwise, it reassures the user that no detected disease matches their symptoms.
This approach provides a quick, accessible, and preliminary health assessment tool, helping users take early action based on their symptoms. However, the system is not a replacement for professional medical diagnosis and should only be used as an initial guidance tool.},
        keywords = {Diabetes, Heart Disease, Kidney Disease, Liver Disease, Python, Flask, Machine Learning, HTML, CSS.},
        month = {April},
        }