Millions of people throughout the world suffer from kidney disease, and while there are many therapies available, they may not be suitable for everyone. Though identification of proper medicinal plants is difficult due to their biological complexity, they have been identified as a potential alternative treatment for kidney issues. India has a wide range of medicinal plants that can help combat kidney diseases, and to identify plants with promising therapeutic potential for kidney diseases, we suggest employing the ResNet101 model. This model is used to extract the deep features in the identifying phase. Our findings demonstrated that with an accuracy of 99.9%, the Ensemble Bagged Tree (EBT) technique employing ResNet outperformed other models. This suggests that the EBT approach is successful in locating possible medicinal plants for treating kidney illness. The findings of this study have significance for the creation of all-natural treatments for kidney diseases. Researchers can create efficient medicines that are available and affordable to millions of individuals suffering from renal disorders by figuring out the chemical elements of plants that contribute to their therapeutic potential.