AI-Based Medicinal Plant Identification Using Deep Learning for Mobile Applications

Abstract

Traditional rural and Ayurvedic healing systems
represent a valuable component of cultural heritage, yet much
of this knowledge is gradually diminishing due to modernization
and limited digital documentation. This paper presents an AIbased
mobile application designed to support medicinal plant
identification and contribute to the digital preservation of traditional
herbal knowledge. The proposed system integrates a
Convolutional Neural Network (CNN) along with MobileNet V2
for image-based plant recognition with a structured medicinal
knowledge base curated through expert consultation and verified
data sources.
The application enables users to identify medicinal plants using
smartphone image capture and provides detailed plant profiles
containing scientific and local names, medicinal uses, preparation
methods, and safety precautions. The backend knowledge
repository is organized to ensure efficient storage and retrieval
of plant information, supporting structured and scalable data
management.
By combining artificial intelligence with an intuitive mobile
interface, the system aims to improve accessibility to reliable
medicinal information while promoting awareness of traditional
practices. The implementation demonstrates a practical approach
toward sustainable digital preservation and technology-assisted
community engagement in herbal healthcare knowledge.