This project developed a mobile app that uses AI (specifically, a ResNet50 model) to accurately identify medicinal herbs. While these plants have been vital to health and medicine throughout history, correctly identifying them has always been difficult. It traditionally requires expert botanical knowledge, making the process slow and inaccessible to the public.
Our app bridges this gap by providing an automated, user-friendly tool. Users can simply take a picture of a plant with their phone, and the app will analyze it and classify the species. The chosen AI model is exceptionally good at recognizing detailed features in images, and after extensive training, it achieved a 94% accuracy rate, proving its reliability for real-world use.
More than just a tech tool, this app helps preserve and share traditional herbal knowledge. It benefits healthcare professionals needing quick verification, researchers studying plant-based medicine, and communities that rely on herbs for wellness. By merging modern technology with traditional practices, this project demonstrates how machine learning can support sustainable healthcare and cultural preservation.
Research Area
Mobile App Development: Mobile App Development research in Computer Science and Information Technology focuses on the design, development, and optimization of software applications for mobile devices such as smartphones and tablets. This area covers a wide range of topics, including user interface design, cross-platform development, mobile operating systems, performance optimization, and security.
One key aspect of research in this area is the development of efficient algorithms and frameworks that enable seamless cross-platform compatibility. Researchers explore ways to create apps that function smoothly on multiple operating systems, such as Android and iOS, using a single codebase, reducing development time and costs. This is often achieved through the use of frameworks like React Native, Flutter, and Xamarin.
User experience (UX) and user interface (UI) design are critical components of mobile app development research. Scholars in this field investigate how to create intuitive, responsive, and engaging interfaces that improve usability and enhance the overall user experience. This includes studying interaction patterns, accessibility, and how users interact with mobile apps across different devices and environments.
Project Main Objective
The main aim is to develop an Android smartphone app capable of identifying medicinal plants from machine learning on plant image data.
Academic Year
2024/2025
Date Uploaded
Jan 21, 2026
Group Members
IBRAHIM ABDUL HAKIM
GHARTEY ADRIANA
APPIAH JASMINE BOATEMAA
ASANTE ESTHER KYEREMAAH
DAPAAH NANA YAW ATOBRAH