{"id":20460015,"url":"https://github.com/uditmahato/api_maize_plant_disease","last_synced_at":"2025-04-13T05:51:34.280Z","repository":{"id":204346315,"uuid":"711227417","full_name":"uditmahato/api_maize_plant_disease","owner":"uditmahato","description":"An API that utilizes a Deep Learning model built with Keras (Tensorflow) to detect if a plant is healthy or suffering from Rust and Powder formation.","archived":false,"fork":false,"pushed_at":"2024-03-07T19:20:50.000Z","size":93443,"stargazers_count":22,"open_issues_count":0,"forks_count":8,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-26T22:36:10.066Z","etag":null,"topics":["api","cnn","deeplearning","flaskapi","machinelearning"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/uditmahato.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2023-10-28T15:40:13.000Z","updated_at":"2025-03-18T02:04:58.000Z","dependencies_parsed_at":null,"dependency_job_id":"a21ff5ca-6fc6-4609-98bb-bda845e5f8b2","html_url":"https://github.com/uditmahato/api_maize_plant_disease","commit_stats":null,"previous_names":["uditmahato/api_maize_plant_disease"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uditmahato%2Fapi_maize_plant_disease","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uditmahato%2Fapi_maize_plant_disease/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uditmahato%2Fapi_maize_plant_disease/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uditmahato%2Fapi_maize_plant_disease/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/uditmahato","download_url":"https://codeload.github.com/uditmahato/api_maize_plant_disease/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248670500,"owners_count":21142901,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["api","cnn","deeplearning","flaskapi","machinelearning"],"created_at":"2024-11-15T12:18:04.502Z","updated_at":"2025-04-13T05:51:34.241Z","avatar_url":"https://github.com/uditmahato.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Plant Disease Detection API\n\nAn API that utilizes a Deep Learning model built with Keras (Tensorflow) to detect if a plant is healthy or suffering from Rust and Powder formation.\n\n## Table of Contents\n- [Introduction](#introduction)\n- [API Endpoints](#api-endpoints)\n  - [Running the API](#running-the-api)\n  - [Prediction Endpoint](#prediction-endpoint)\n- [Contributing](#contributing)\n- [License](#license)\n\n## Introduction\n\nThis API provides the capability to detect plant diseases using a pre-trained deep learning model. It allows you to upload an image of a plant, and it will predict whether the plant is healthy or suffering from Rust and Powder formation.\n\n## API Endpoints\n\n### Running the API\n\nTo run the API, follow these steps:\n\n1. Fork the repository.\n\n2. Create a new branch for your feature or bug fix.\n\n3. Implement your changes.\n\n4. Test your changes.\n\n5. Create a pull request.\n\n### Prediction Endpoint\n\n#### `POST /predict`\n\n- **Description**: The root function returns the prediction and confidence level of an image using a pre-trained model.\n- **Parameters**:\n  - `file` (UploadFile): The image to be predicted.\n- **Returns**: A dictionary containing the prediction and confidence level.\n\n## Contributing\n\nContributions to this project are welcome. If you'd like to contribute, please follow these steps:\n\n1. **Fork the repository**.\n\n2. **Create a new branch** for your feature or bug fix.\n\n3. **Implement your changes**.\n\n4. **Test your changes**.\n\n5. **Create a pull request**.\n\n## License\n\nThis project is licensed under the [Apache License 2.0](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuditmahato%2Fapi_maize_plant_disease","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fuditmahato%2Fapi_maize_plant_disease","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuditmahato%2Fapi_maize_plant_disease/lists"}