CASE STUDY

MINING

  1. Sriya-AI algorithms can analyze geological data and identify valuable mineral deposits, reducing exploration time and cost.
  2. Dataset has 737,453 records with 1 Categorical Features and 25 Numerical Features.
  3. Regression models created with Sriya-AI techniques had an average accuracy of 67% – 80% in predicting impurity in iron ore.