CASE STUDY
FOOD INDUSTRY
Sriya-AI models accurately classify sugar scale as Specific Gravity or Plato based on features like malt, hops, and yeast.
Dataset has 73861 records with 7 categorical and 16 numerical features; 97.4% of records are Specific Gravity
Models created with algorithms including Decision Tree, RNN, MLP, Random Forest, and XGBoost
Average accuracy between 85% – 100%.