Aleaf: An Android-Based Phytotherapy Leaf Recognition Using Custom Vision Machine Learning

Phytotherapy is the area of medicine which deals with the practice of medicinal plants as remedies for illnesses or as therapeutic agents. Due to its budget-friendliness, high accessibility, and long account of effectivity, plant-based therapy as complementary and alternative medicine (CAM) is widespread in the first world while remains the primary health care for the third world. The more traditional use of plant-based therapy for medicinal purposes is to preserve the original properties of the plant; vitiated components are minimum. Even with its popularity, information regarding phytotherapy and the benefits of herbs and plants is nil. Even with its utilization among people, especially with the guidance of the elderlies, the knowledge is still lacking. This may be due to the fact that the practice of phytotherapy is usually based on experience and information is passed down through verbal transmission. The main objective of the study is to implement an Android application that acts as a leaf identification system, capable of detecting whether a plant has medicinal properties or not through the captured leaf image and its patterns. It displays their therapeutic benefits to the human body, its preparation, administration, dosage and frequency and duration of usage.