{"id":21189789,"url":"https://github.com/kanugurajesh/fruit-rekog","last_synced_at":"2025-07-10T02:32:10.073Z","repository":{"id":209451137,"uuid":"724068230","full_name":"kanugurajesh/Fruit-Rekog","owner":"kanugurajesh","description":"Use this Tool to recognize various fruits","archived":false,"fork":false,"pushed_at":"2023-11-27T13:18:34.000Z","size":5596,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-01-12T04:54:48.064Z","etag":null,"topics":["android-studio","intelligent-app","kotlin","open-source","tensorflow","tflite","xml"],"latest_commit_sha":null,"homepage":"","language":"Kotlin","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kanugurajesh.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-11-27T10:31:43.000Z","updated_at":"2024-01-08T07:29:38.000Z","dependencies_parsed_at":"2023-11-27T12:53:46.509Z","dependency_job_id":null,"html_url":"https://github.com/kanugurajesh/Fruit-Rekog","commit_stats":null,"previous_names":["kanugurajesh/fruit-rekog"],"tags_count":0,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kanugurajesh%2FFruit-Rekog","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kanugurajesh%2FFruit-Rekog/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kanugurajesh%2FFruit-Rekog/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kanugurajesh%2FFruit-Rekog/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kanugurajesh","download_url":"https://codeload.github.com/kanugurajesh/Fruit-Rekog/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225615281,"owners_count":17496941,"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":["android-studio","intelligent-app","kotlin","open-source","tensorflow","tflite","xml"],"created_at":"2024-11-20T18:53:57.036Z","updated_at":"2024-11-20T18:53:57.793Z","avatar_url":"https://github.com/kanugurajesh.png","language":"Kotlin","funding_links":["https://www.buymeacoffee.com/kanugurajen"],"categories":[],"sub_categories":[],"readme":"# Fruit Rekog\r\n\r\n\"🍎🍌🍇 An intelligent application with the power to accurately classify fruits! 🍏🍊 Utilizing state-of-the-art TensorFlow Lite models for predictions, this advanced system ensures superior accuracy, making fruit identification a seamless and delightful experience.\r\n\r\n# Fruit Classifier 🍏🍊🍌\r\n\r\nAn intelligent application for accurately classifying fruits using TensorFlow Lite models, with the added convenience of offline functionality.\r\n\r\n## Features:\r\n\r\n1. **Offline Capability 📡🔒:**\r\n   - The application works seamlessly without requiring an internet connection, ensuring reliable performance anytime, anywhere.\r\n\r\n2. **High Accuracy Predictions 🎯🔍:**\r\n   - Powered by TensorFlow Lite models, the classifier delivers precise and reliable fruit classifications, enhancing the user experience.\r\n\r\n3. **User-Friendly Interface 🖥️🤖:**\r\n   - The application boasts an intuitive and easy-to-use interface, making fruit identification a simple and enjoyable process.\r\n\r\n4. **Wide Range of Fruits 🍎🍇🍑:**\r\n   - Capable of identifying a diverse range of fruits, providing comprehensive support for various fruit types.\r\n\r\n5. **Fast and Efficient 🚀⚡:**\r\n   - Swift prediction times ensure a seamless user experience, making the fruit classification process quick and efficient.\r\n\r\n6. **Open Source 🛠️📂:**\r\n   - The source code is available for exploration and modification, promoting transparency and community collaboration.\r\n\r\n## Getting Started:\r\n\r\n1. **Fork the Repository:**\r\n   ```bash\r\n   Fork the repository which will create a copy of this project in your github\r\n   ```\r\n2. **Clone the Repository:**\r\n   ```bash\r\n   git clone https://github.com/user-name/Fruit-Rekog.git\r\n   ```\r\n3. **Open the Fruit-Rekog Folder with Android-Studio:**\r\n   ```bash\r\n   Go to android studio and open the Fruit-Rekog folder\r\n   ```\r\n4. **Make your own changes:**\r\n   ```bash\r\n   Brainstorm and make your own changes in the app\r\n   ```\r\n\r\n## Application Demo\r\n\r\n![fruit-recognizer](https://github.com/kanugurajesh/Fruit-Rekog/assets/120458029/507d263d-eed5-4547-a711-bc5098e69183)\r\n\r\n## Application Screenshot\r\n\r\n\u003cdiv gap=\"5px\"\u003e\r\n   \u003cimg src=\"https://github.com/kanugurajesh/Fruit-Rekog/assets/120458029/44d91638-a17f-49a8-90dc-0592d2e412ea\" alt=\"\" width=\"300\" height=\"500\"\u003e\r\n\r\n   \u003cimg src=\"https://github.com/kanugurajesh/Fruit-Rekog/assets/120458029/dfc8c218-7a3e-4f77-a604-186279580e11\" alt=\"\" width=\"300\" height=\"500\"\u003e\r\n   \r\n   \u003cimg src=\"https://github.com/kanugurajesh/Fruit-Rekog/assets/120458029/d685cdc3-c5cd-481c-98bf-fc6cc22827cd\" alt=\"\" width=\"300\" height=\"500\"\u003e\r\n   \r\n   \u003cimg src=\"https://github.com/kanugurajesh/Fruit-Rekog/assets/120458029/b387f559-dcc4-467e-8268-67aed9665265\" alt=\"\" width=\"300\" height=\"500\"\u003e\r\n\r\n\u003c/div\u003e\r\n\r\n## 🔗 Links\r\n[![portfolio](https://img.shields.io/badge/my_portfolio-000?style=for-the-badge\u0026logo=ko-fi\u0026logoColor=white)](https://rajeshportfolio.me/)\r\n[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge\u0026logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/rajesh-kanugu-aba8a3254/)\r\n[![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge\u0026logo=twitter\u0026logoColor=white)](https://twitter.com/exploringengin1)\r\n\r\n## Tech Stack\r\n\r\n- Kotlin\r\n- XML\r\n- Android Studio\r\n- Tensorflow\r\n- Tensorflow Lite\r\n\r\n## Authors\r\n\r\n- [@kanugurajesh](https://www.github.com/kanugurajesh)\r\n- [@rajesh604](https://www.github.com/rajesh604)\r\n\r\n## Contributing\r\n\r\nContributions are always welcome!\r\n\r\nSee [`contributing.md`](https://github.com/kanugurajesh/Fruit-Rekog/blob/main/contributing.md) for ways to get started.\r\n\r\nPlease adhere to this project's [`code of conduct`](https://github.com/kanugurajesh/Fruit-Rekog/blob/main/code_of_conduct.md).\r\n\r\n## Support\r\n\r\nFor support, you can buy me a coffee\r\n\r\n\u003ca href=\"https://www.buymeacoffee.com/kanugurajen\" target=\"_blank\"\u003e\u003cimg src=\"https://cdn.buymeacoffee.com/buttons/default-orange.png\" alt=\"Buy Me A Coffee\" height=\"41\" width=\"174\"\u003e\u003c/a\u003e\r\n\r\n## License\r\n[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://github.com/kanugurajesh/Cric-Quiz/blob/master/LICENSE.TXT)\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkanugurajesh%2Ffruit-rekog","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkanugurajesh%2Ffruit-rekog","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkanugurajesh%2Ffruit-rekog/lists"}