Sriya-AI models can help in predicting the severity of road
construction, which can aid the construction industry in
managing resources, scheduling work, and mitigating risks.
The dataset has 1,687,861 records with 17 Categorical Features
and 18 Numerical Features, and 90.2% of the data shows low
road construction severity.
Sriya-AI algorithms were used with techniques like Decision
Tree, Recurrent Neural Network, Multilayer Perceptron, Random
forest, and XGBoost to classify road construction severity as
high or low.
The models achieved an average accuracy between 70% – 80%,
with success in classifying the road construction severity as
high or low.