Identify medicinal plants by description using AI

Below is a free classifier to identify medicinal plants by description. Just input your text, and our AI will predict what medicinal plant it is - in just seconds.

medicinal plants by description identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("medicinal-plants-by-description", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/medicinal-plants-by-description/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_text_here"}
        )
    })
    .then(response => response.json())
    .then(data => console.log(data));
                

    curl -X POST \
        -H "Content-Type: application/json" \
        -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
        -d '{"data": "your_text_here"}' \
        https://www.nyckel.com/v1/functions/medicinal-plants-by-description/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict what medicinal plant it is.

This pretrained text model uses a Nyckel-created dataset and has 20 labels, including Anti-Allergic, Anti-Diabetic, Anti-Fungal, Anti-Inflammatory, Anti-Viral, Antimicrobial, Antioxidant, Antiseptic, Cardiovascular Health and Detoxifying.

We'll also show a confidence score (the higher the number, the more confident the AI model is around what medicinal plant it is).

Whether you're just curious or building medicinal plants by description detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify medicinal plants by description at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Herbal Medicine Retail: Retailers specializing in herbal medicines can use the text classification function to categorize products based on their descriptions. This allows customers to easily find remedies for specific ailments, enhancing the shopping experience and increasing sales.

  • Pharmaceutical Research: Research institutions can utilize this function to analyze and classify descriptions of medicinal plants from historical texts or modern studies. This aids in the identification of potential new drug candidates, expediting the discovery process.

  • Agricultural Development: Agricultural firms can classify descriptions of plants to identify those with medicinal properties that can be cultivated sustainably. This can lead to the development of new agricultural sectors focused on high-demand herbal products.

  • Health and Wellness Apps: Developers of health and wellness applications can integrate this identifier to provide users with personalized recommendations based on their symptoms and preferences. This feature can improve user engagement and satisfaction with the app.

  • Traditional Medicine Documentation: Organizations focused on preserving traditional medicinal knowledge can classify plant descriptions to create a comprehensive digital library. This will enhance accessibility to valuable information for researchers, practitioners, and the public.

  • Educational Platforms: Educational institutions can leverage the classification function in their curriculums related to botany, herbal medicine, or ethnopharmacology. Structured insights into medicinal plants can enrich learning materials and aid in student research.

  • E-commerce Product Management: E-commerce platforms can implement this identifier to streamline product categorization and tagging based on detailed descriptions. This enhances searchability, helping customers find relevant medicinal products more effectively, which can lead to increased conversions.

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