https://github.com/neelanjan00/crop-ai-frontend
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-frontend
dart flutter image-classification
Last synced: 4 months ago
JSON representation
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-frontend
- Owner: neelanjan00
- Created: 2021-04-15T09:47:43.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-04-15T11:02:50.000Z (about 4 years ago)
- Last Synced: 2025-01-11T07:33:34.735Z (6 months ago)
- Topics: dart, flutter, image-classification
- Language: Dart
- Homepage:
- Size: 132 KB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
![]()
Welcome to Crop AI 👋
> [This is the frontend mobile application of the project, the backend 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)
## 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!