https://github.com/avnigoyal25/potato-disease-classification
The Potato Disease Classification Project aims to build a machine learning model capable of accurately classifying different diseases in potato plants.
https://github.com/avnigoyal25/potato-disease-classification
deep-learning fastapi keras machine-learning python reactjs tensorflow
Last synced: 5 months ago
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The Potato Disease Classification Project aims to build a machine learning model capable of accurately classifying different diseases in potato plants.
- Host: GitHub
- URL: https://github.com/avnigoyal25/potato-disease-classification
- Owner: avnigoyal25
- Created: 2023-07-23T09:43:59.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2023-07-23T16:31:29.000Z (almost 3 years ago)
- Last Synced: 2025-04-30T20:59:15.910Z (about 1 year ago)
- Topics: deep-learning, fastapi, keras, machine-learning, python, reactjs, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
https://github.com/avnigoyal25/Potato-disease-classification/assets/91952706/7606ab5a-b714-4c05-86bc-ecaad787b88f
# Potato-disease-classification
The Potato Disease Classification Project aims to build a machine learning model capable of accurately classifying different diseases in potato plants. By using deep learning algorithms, the project seeks to assist farmers and agricultural experts in early disease detection, enabling them to take necessary measures to protect their potato crops and improve overall yield.
# Dataset used
https://www.kaggle.com/datasets/emmarex/plantdisease
# Tech stack used
Model building - Jupyter notebook using tensorflow, keras, python
Frontend- ReactJs
Backend- FastAPI
# How to run the project on your system
1) Clone the repo
2) Install requirements.txt using command- pip install -r requirements.txt
3) Go to frontend folder in the terminal and write- npm start
4) For backend just run main.py in the api folder.