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About this project
ML model predicting common diseases from symptom inputs, trained on Pakistan-specific health data. Deployed via Raspberry Pi cluster in 5 Sukkur district health centres. Achieved 89% accuracy.
ML model predicting common diseases from symptom inputs, trained on Pakistan-specific health data. Deployed via Raspberry Pi cluster in 5 Sukkur district health centres. Achieved 89% accuracy.