CASE STUDY
LAND TRANSPORT
Sriya-AI algorithms can accurately predict taxi fares, benefiting both drivers and passengers.
The dataset has 1446517 records, but a random sample of 200000 records is used for modelling.
Regression models were created using Lasso, RNN, MLP, Random Forest, and XGBoost.
Sriya-AI achieved an average accuracy of 89%-97%.