https://github.com/nisch-mhrzn/apple-leaf-disease-detection

This is my minor project. I built an web app that can predict the diseases of an apple leaf.
https://github.com/nisch-mhrzn/apple-leaf-disease-detection

data-science firebase image-processing machine-learning python streamlit

Last synced: 5 days ago
JSON representation

This is my minor project. I built an web app that can predict the diseases of an apple leaf.

• Host: GitHub
• URL: https://github.com/nisch-mhrzn/apple-leaf-disease-detection
• Owner: nisch-mhrzn
• Created: 2023-02-20T04:43:05.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-06-10T16:54:14.000Z (over 1 year ago)
• Last Synced: 2025-02-08T01:17:42.980Z (5 days ago)
• Topics: data-science, firebase, image-processing, machine-learning, python, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 17.3 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# New-apple-leaf

This is my minor project I made using Python and Streamlit. The project is based on detecting apple leaf diseases and provding their treatment.

First of all it is recommended to work on an virtual environment for a project as your main python package directory does not get flooded with unnecessary python packages.

# To set up a virtual environment 

 pip install virtualenv

 

 # Create  a virtual environment

  python -m venv virtual-environment-name

# Activating the environment

virtual-environment-name/scripts/activate

  

 # Installing required modules

  pip install -r requirements.txt

  

  After that open the main.py folder. make sure to activate the virtual envirnoment. Make sure to correct the path of the .h5 model.

  Then in the cmd type:

  streamlit run main.py