https://github.com/neelanjan00/crop-ai
A diagnostic AI-enabled mobile app which is able to classify upto 38 different plant diseases ranging for 14 crops and vegetables. The application makes use of the VGG-Net CNN architecture for the purpose of multi-class classification of the images of infected plant leaves. The trained model was then deployed using a Flask backend server, along with a Flutter-based frontend mobile application to interact with the REST API.
https://github.com/neelanjan00/crop-ai
computer-vision deep-learning flask python
Last synced: 4 months ago
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A diagnostic AI-enabled mobile app which is able to classify upto 38 different plant diseases ranging for 14 crops and vegetables. The application makes use of the VGG-Net CNN architecture for the purpose of multi-class classification of the images of infected plant leaves. The trained model was then deployed using a Flask backend server, along with a Flutter-based frontend mobile application to interact with the REST API.
- Host: GitHub
- URL: https://github.com/neelanjan00/crop-ai
- Owner: neelanjan00
- Created: 2020-06-14T01:34:36.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T10:11:15.000Z (over 3 years ago)
- Last Synced: 2025-05-08T23:06:48.197Z (about 1 year ago)
- Topics: computer-vision, deep-learning, flask, python
- Language: Python
- Homepage: https://cropaiapp.herokuapp.com/
- Size: 13.8 MB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 4
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Metadata Files:
- Readme: README.md
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README
Welcome to Crop AI 👋
> [This is the backend API of the project, the frontend mobile application can be found here ] A diagnostic AI-enabled mobile app which is able to classify upto 38 different plant diseases ranging for 14 crops and vegetables. The application makes use of the VGG-Net CNN architecture for the purpose of multi-class classification of the images of infected plant leaves. The trained model was then deployed using a Flask backend server, along with a Flutter based frontend mobile application to interact with the REST API.
### 🏠 [Homepage](https://github.com/neelanjan00/Crop-AI)
## Install
```sh
pip install -r requirements.txt
```
## Usage
```sh
python app.py
```
## API Routes
| Route | Method | Field Name | Input Type | Returns |
|:-------|--------|------------|------------|:------------|
| `/` | POST | InputImg | Image File (png or jpg or jpeg) | Returns a string bearing the name of the plant disease. |
## Author
👤 **Neelanjan Manna**
* Website: https://neelanjanmanna.ml/
* Twitter: [@NeelanjanManna](https://twitter.com/NeelanjanManna)
* Github: [@neelanjan00](https://github.com/neelanjan00)
* LinkedIn: [@neelanjan00](https://linkedin.com/in/neelanjan00)
## Show your support
Give a ⭐️ if this project helped you!