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milk-datasets

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ZeshanFareed / Milk_Adulteration_Detection_System_Using_IOT_and_ML

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MADS: IoT & ML-based milk adulteration detection with 95% accuracy. Uses ESP32 sensors (pH, temp, gas), lactoscanner data, and Random Forest. Django dashboard with Firebase, Chart.js, and Urdu support. Built with Python, scikit-learn, Pandas, SHAP. Secure, real-time dairy quality control solution.

iot esp32 machine-learning-algorithms django-application pandas python3 temperature-sensor firebase-auth arduino-uno firebase-realtime-database gas-sensor completed-project ph-sensor complete-source-code randomforestclassifier milk-datasets milkadulterentdetection
  • Updated Jul 31, 2025
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