Smart_pH: AI pH Estimation

Smart-pH: Universal pH Estimation via Artificial Neural Networks Based on Multi-Source Colorimetric Analysis. pH - ANN model demonstrated excellent predictive performance, achieving an R² > 0.997 for both training and validation, with very low error metrics (MSE = 0.10, MAE = 0.20). >> pH paper types: 1- Type A: Universalindikator pH 1-14 (MERCK) 2- Type B: Indicator Paper pH 0-14 (UNI-CHEM) 3- Type C: DF Universal pH 0-14 4- Type E: pH-Fix 0-14 (MACHEREY-NAGEL (MN)) 5- Type F: pH [0-14] (DF) 6- Type H: pH [5.5-9.0] (DF) Short stepwise summary: Home Screen: User selects from 6 commercial pH types. Info Display: Shows manufacturer, range, and sample images. Image Input: User captures or uploads pH strip image. Bounding Boxes: Adjust boxes to isolate color blocks. Feature Extraction: Compute RGB (mean, median, mode). Prediction: ANN model predicts pH value. Results: Display predicted pH with RGB stats. Scientific validation and More info : "https://elsenety.github.io/ml.html"