Recode-Hive / machine-learning-repos

A curated list of awesome machine learning frameworks, libraries and software (by language). I
MIT License
44 stars 120 forks source link

Indian Medicinal Leaves and Plants Classification #351

Open vishuhere opened 1 week ago

vishuhere commented 1 week ago

Is there an existing issue for this?

Feature Description

This system can streamline the documentation and preservation of traditional knowledge, validate medicinal properties through cross-referencing scientific studies, and make the information widely accessible. This integration not only supports scientific research and conservation efforts but also facilitates the safe and effective use of traditional medicinal practices in modern healthcare.

Use Case

The problem of identifying, categorizing, and preserving the vast and diverse knowledge of Indian medicinal plants can be effectively addressed through a deep learning-based classification system. By training neural networks on extensive datasets comprising images, morphological descriptions, regional names, and medicinal uses, deep learning models can accurately identify and classify plants even with subtle visual differences.

Benefits

No response

Add ScreenShots

No response

Priority

High

Record

github-actions[bot] commented 1 week ago

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

Note: This repo is for beginners to learn and start with Opensource we won't accept more than 10 issues from a single person, This restriction applies to Gssoc project which has a similar kind of adding folder files, Points will be reduced when we find Spam.

I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.

You can also check our CONTRIBUTING.md for guidelines on contributing to this project.