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PhytoMeet | Medicinal Plant Identification

An AI-powered digital system for medicinal plant identification and health benefit recommendation using YOLOv11 and NLP-CF models.

Use the controls below to explore the database. You can search for a plant by its name, scientific name, or the ailment it cures. You can also filter the list by its primary health benefit.

Is this information medically certified? (Disclaimer & Notice)

Consult a Professional: The information provided on this platform is for educational and informational purposes only. It is not intended as a substitute for professional medical advice, diagnosis, or treatment. Always consult with a licensed physician or a qualified healthcare expert before using any herbal remedies.

Work in Progress: Please note that our database of medicinal plants is still under active development and is not yet fully improved. Information may be incomplete or subject to updates.

What medicinal plants are currently tracked? (Overview)

These charts provide a high-level summary of the 18 plants in this database, showing the distribution of their primary health benefits, the plant parts used, and the common methods of preparation.

Last updated:

Data source: Curated traditional knowledge records and educational references from Catanduanes, Philippines. Professionally & Traditionally Approved

Plants in View

0

Unique Ailments

0

Top Benefit

Not available

Top Preparation

Not available

What health benefits do these plants offer?

Which parts of the plants are used?

How are these remedies typically prepared?

How can I explore the medicinal plant database?

Displaying all curated plants in this version. Use the filters above to narrow your search.

Who developed PhytoMeet?

PhytoMeet is a research initiative and part of the thesis project titled "Medicinal Plant Identification and Health Benefit Recommendation Using YOLOv11 and Hybrid NLP-CF Model".

This system was presented to the Faculty of the College of Information and Communications Technology at Catanduanes State University (Virac, Catanduanes) in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science.

Our goal is to digitize and preserve local medicinal plant knowledge, providing an accessible tech-driven platform for exploring traditional herbal remedies, uses, and preparation methods native to the island.

Researchers

  • John Melan T. Eustaquio
  • Joshua T. Francisco
  • Jean Claude E. Tabirara
  • Renz Marlon T. Tariman