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| title: Diabetes Predictor | |
| emoji: 🔥 | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 5.35.0 | |
| app_file: app.py | |
| pinned: false | |
| short_description: A tool to predict diabetes status from patient data | |
| # Diabetes Predictor | |
| This is a machine learning-based diabetes prediction tool developed by Dr. Vinod Kumar Yata's research group | |
| School of Allied and Healthcare Sciences, Malla Reddy University, Hyderabad, India | |
| --- | |
| ## About | |
| This app uses an XGBoost classifier trained on clinical and lifestyle data to predict the diabetes status of a patient. | |
| --- | |
| ## ⚠️ Warning | |
| This is an experimental tool and should **NOT** be used for medical diagnosis. | |
| Always consult a licensed healthcare provider for medical advice. | |
| --- | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |