Web Application which predicts Plant's Disease using ML Models
- Run api.py in localhost 8000
- Open index.html in browser
Username : admin Password : 123456789
If you don't have any image for testing, use the image in Dataset Folder
Python 3.6.2 or above
pip install tensorflow==2.5.0 numpy pandas fastapi matplot matplotlib
To build to project completly from scrach from remote machine, follow these instructions
- Find and download a Training Dataset for Plant Disease. (Or feel free to use this dataset. Its the filtered and custom version of Village Plant Dataset)
- Train a Model for each plant using CNN. (Source code is in Code directory)
- Build an API which gets image and use the trained Model to predict the disease. Then it should return the disease name and other relavant infos.
- Deploy the API and build a Web UI which sits top in the API