CASE STUDY

VEHICLE MAINTENANCE

  1. Sriya-AI can predict equipment failure by analyzing performance data and usage patterns.
  2. Dataset contains 50,000 numerical records with 13 features.
  3. Regression models created with Sriya-AI techniques like Lasso, Random forest, XGBoost, Multilayer Perceptron, RNN, and ANN.
  4. Regression models created with Sriya-AI techniques like Lasso, Random forest, XGBoost, Multilayer Perceptron, RNN, and ANN.