Scopus Indexed Publications

Paper Details


Title
Immunity Booster Bangladeshi Medical Plants Recognition Using CNN: A Deep Learning Approach

Author
Zannatul Ferdaus Suma, Farhana Akter Binti, Kazi Rifat Ahmed, Nusrat Jahan,

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Abstract

Plants are gifts from nature and are often used to make medicines for both physical and mental health. Many drugs come from natural plants, including therapeutic herbs used as the basis for pharmaceuticals. In Bangladesh, medicinal plants are part of homeopathy, Unani, and Ayurveda. Experts believe these plants can help fight the current COVID-19 pandemic. A strong immune system is vital since it determines overall health. Strong immunity helps the body fend off bacteria, viruses, and infections, while inactive people are more vulnerable to these threats. Certain medicinal herbs can boost our immunity. Therefore, it is important to categorize these beneficial herbs. The proposed work aims to classify them using the well-known CNN technique, which has achieved 94% accuracy in detecting plants from leaf photos. With this method, people who are unaware of these helpful herbs or cannot identify them might be able to do so. By understanding their immune systems and the medicinal herbs that enhance immunity, individuals can better fight illnesses and viruses in the future. This knowledge could be crucial in the face of emerging dangerous viruses.


Keywords

Journal or Conference Name
Studies in Computational Intelligence

Publication Year
2025

Indexing
scopus