1. Sriya-AI techniques can classify the damage grade of buildings in the construction industry.
  2. Dataset has 260,601 records with 9 Categorical Features and 31 Numerical Features.
  3. Models were created with algorithms such as Decision tree, Recurrent Neural Network, Multilayer Perceptron, Random forest, and XGBoost.
  4. Sriya-AI algorithms predicted damage grade with an average accuracy of 77%-83%.