Medicinal Plant identification using Machine Learning | IEEE Projects for Computer Science

Medicinal Plant Identification in Real-Time Using Deep Learning Model

Medicinal Plant Identification through Image Processing, this project developed using Python Programming language and Tkinter is used for Graphical User Interface. this project contains large dataset of plants images and dataset is downloaded from kaggle. Model is trained on large dataset of images through machine learning. User have to first upload image from dataset and click on start detection. Once user click on detection button then machine learning model is worked in background and it will predict that particular plant and also provide information of regional name and health benefits.

Dataset Link:- https://www.kaggle.com/datasets/aryashah2k/indian-medicinal-leaves-dataset

Medicinal Plant Detection using Deep Learning

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

📲 Call/WhatsApp: +91-9460060699

🌎 Website: www.techieprojects.com

📺 Instagram: @pythonprojects_


💡 Checkout Related Projects:-

1. Android App:- Click Here

2. Java Projects:- Click Here

3. OpenCV Projects:- Click Here

4. Data Science Projects:- Click Here

5. Data Analytics Projects:- Click Here

5. Deep Learning Projects:- Click Here

6. Cyber Security Projects:- Click Here

7. Machine Learning Projects:- Click Here

8. Image Processing Projects:- Click Here

9. Web Development Projects:- Click Here

10. Game Development Projects:- Click Here

11. Artificial Intelligence Projects:- Click Here

12. Database Management System:- Click Here