Fruit Rekog
"??? 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.
Fruit Classifier ???
An intelligent application for accurately classifying fruits using TensorFlow Lite models, with the added convenience of offline functionality.
Features:
-
Offline Capability ??:
- The application works seamlessly without requiring an internet connection, ensuring reliable performance anytime, anywhere.
-
High Accuracy Predictions ??:
- Powered by TensorFlow Lite models, the classifier delivers precise and reliable fruit classifications, enhancing the user experience.
-
User-Friendly Interface ?️?:
- The application boasts an intuitive and easy-to-use interface, making fruit identification a simple and enjoyable process.
-
Wide Range of Fruits ???:
- Capable of identifying a diverse range of fruits, providing comprehensive support for various fruit types.
-
Fast and Efficient ?⚡:
- Swift prediction times ensure a seamless user experience, making the fruit classification process quick and efficient.
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Open Source ?️?:
- The source code is available for exploration and modification, promoting transparency and community collaboration.
Getting Started:
- Fork the Repository:
Fork the repository which will create a copy of this project in your github
- Clone the Repository:
git clone https://github.com/user-name/Fruit-Rekog.git
- Open the Fruit-Rekog Folder with Android-Studio:
Go to android studio and open the Fruit-Rekog folder
- Make your own changes:
Brainstorm and make your own changes in the app
Application Demo
Application Screenshot
![](https://private-user-images.githubusercontent.com/120458029/285868993-44d91638-a17f-49a8-90dc-0592d2e412ea.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTEiLCJleHAiOjE3MDM2NTc4MjYsIm5iZiI6MTcwMzY1NzUyNiwicGF0aCI6Ii8xMjA0NTgwMjkvMjg1ODY4OTkzLTQ0ZDkxNjM4LWExN2YtNDlhOC05MGRjLTA1OTJkMmU0MTJlYS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBSVdOSllBWDRDU1ZFSDUzQSUyRjIwMjMxMjI3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDIzMTIyN1QwNjEyMDZaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1jNDdiNzRhMTU1NzIyMzJiMGQxYjE4M2I2ZWQ2ZWE2YTI4ZGEwMTJhN2JkMjIxMTdmMTg4NzY3YjkxY2Q0OTRkJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.ZScclBNYdKKlCMgMJtfrbQ2jL7VA-lZMJ5Az2ciYt5k)
![](https://private-user-images.githubusercontent.com/120458029/285873090-dfc8c218-7a3e-4f77-a604-186279580e11.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTEiLCJleHAiOjE3MDM2NTc4MjYsIm5iZiI6MTcwMzY1NzUyNiwicGF0aCI6Ii8xMjA0NTgwMjkvMjg1ODczMDkwLWRmYzhjMjE4LTdhM2UtNGY3Ny1hNjA0LTE4NjI3OTU4MGUxMS5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBSVdOSllBWDRDU1ZFSDUzQSUyRjIwMjMxMjI3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDIzMTIyN1QwNjEyMDZaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0yMWU2NWYzNWE5NzJjNTJjZjVhZDAxMjI3ZWNmZGEyODM1NzFhMjNlNDY4OTdhNTBlNzA0MDA5YWMwMTc3M2IwJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.oAbDCl6_kxJud0hQWqFbvxsdvdpBIYETj8F6TWG2jyg)
![](https://private-user-images.githubusercontent.com/120458029/285873157-d685cdc3-c5cd-481c-98bf-fc6cc22827cd.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTEiLCJleHAiOjE3MDM2NTc4MjYsIm5iZiI6MTcwMzY1NzUyNiwicGF0aCI6Ii8xMjA0NTgwMjkvMjg1ODczMTU3LWQ2ODVjZGMzLWM1Y2QtNDgxYy05OGJmLWZjNmNjMjI4MjdjZC5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBSVdOSllBWDRDU1ZFSDUzQSUyRjIwMjMxMjI3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDIzMTIyN1QwNjEyMDZaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0xYjdmNjVlMjliMTJhMmNiYWEwZDUxZmNjZGY1YmY4MjJlOTY5YzBhMGZlZDk1ZGJkNTFhNDUzYWQ1ZmNhMDJlJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.DEw-CAvW5EUHZlA2Ev4t3UJFe3LrtDBF90JsKFFqdhk)
![](https://private-user-images.githubusercontent.com/120458029/285873172-b387f559-dcc4-467e-8268-67aed9665265.jpg?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTEiLCJleHAiOjE3MDM2NTc4MjYsIm5iZiI6MTcwMzY1NzUyNiwicGF0aCI6Ii8xMjA0NTgwMjkvMjg1ODczMTcyLWIzODdmNTU5LWRjYzQtNDY3ZS04MjY4LTY3YWVkOTY2NTI2NS5qcGc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBSVdOSllBWDRDU1ZFSDUzQSUyRjIwMjMxMjI3JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDIzMTIyN1QwNjEyMDZaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0yMDE5M2JlNzhhOWNkYjEzNDI0NzQ3MDhlMzYyMmNlOTNhZDMxOTUwZTIxODdhMWZkZjZjMWViNjgyZDYzNDVjJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.zCGLJBPOIPcHeFhdvAy3GUKIXg0Bw6_PcgKdzOZV14U)
? Links
Tech Stack
- Kotlin
- XML
- Android Studio
- Tensorflow
- Tensorflow Lite
Authors
Contributing
Contributions are always welcome!
See contributing.md
for ways to get started.
Please adhere to this project's code of conduct
.
Support
For support, you can buy me a coffee