Deep Learning Based Medicinal Plant Identification (Project)
Developed a deep learning model to identify and classify medicinal plants using training data prepared for AI model development. The work focused on supervised classification outcomes to support accurate plant identification. The project involved designing and training an AI model pipeline suitable for image-based medicinal plant recognition. • Prepared/organized labeled training data for the medicinal plant identification task • Trained and validated a deep learning model for classification • Implemented inference logic to predict medicinal plant categories • Iterated model performance through evaluation feedback