shiroonigami23-ui/SecureHealthIoT
Kaggle-based symptom-to-disease prediction pipeline with Gradio and Hugging Face deployment
This tool helps healthcare professionals quickly assess potential diseases based on patient symptoms or uploaded medical reports. You input symptoms via multi-select, or upload text/PDF reports and images, and it outputs the top-3 likely disease predictions, confidence levels, and preliminary precaution summaries. It's designed for clinicians who need a reliable, data-driven second opinion or a quick diagnostic aid.
Use this if you are a healthcare professional seeking a decision-support tool to assist with preliminary disease prediction based on patient symptoms or existing medical documentation.
Not ideal if you require a definitive diagnosis or a replacement for direct clinical judgment, as this is a decision-support tool and not a medical device.
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Language
Python
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Last pushed
Mar 26, 2026
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