{"id":16478935,"url":"https://github.com/neelanjan00/crop-ai","last_synced_at":"2026-02-25T02:32:39.374Z","repository":{"id":39740588,"uuid":"272113798","full_name":"neelanjan00/Crop-AI","owner":"neelanjan00","description":"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. 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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.\n\n### 🏠 [Homepage](https://github.com/neelanjan00/Crop-AI)\n\n## Install\n\n```sh\npip install -r requirements.txt\n```\n\n## Usage\n\n```sh\npython app.py\n```\n## API Routes\n| Route  | Method | Field Name | Input Type | Returns |\n|:-------|--------|------------|------------|:------------|\n| `/`  |    POST    | InputImg | Image File (png or jpg or jpeg) | Returns a string bearing the name of the plant disease. |\n\n## Author\n\n👤 **Neelanjan Manna**\n\n* Website: https://neelanjanmanna.ml/\n* Twitter: [@NeelanjanManna](https://twitter.com/NeelanjanManna)\n* Github: [@neelanjan00](https://github.com/neelanjan00)\n* LinkedIn: [@neelanjan00](https://linkedin.com/in/neelanjan00)\n\n## Show your support\n\nGive a ⭐️ if this project helped you!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneelanjan00%2Fcrop-ai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneelanjan00%2Fcrop-ai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneelanjan00%2Fcrop-ai/lists"}