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Simple audio recognition application developed in Flutter using Tensorflow Lite framework to integrate a sound classification model
## Tecnologies This application was developed using a cross-platform framework that allows multi-operanting systems support namely iOS and Android: - [Flutter](https://flutter.dev) cross-platform framework - [Tensorflow Lite](https://www.tensorflow.org/lite) used to integrate machine learning models into mobile applications ## How to run As a requirement, it is necessary to have Flutter already installed. To run the mobile application: 1. Get flutter dependencies: ``` flutter pub get ``` 2. After mobile device connected, run the application doing: ``` flutter run ``` This [article](https://carolinamalbuquerque.medium.com/audio-recognition-using-tensorflow-lite-in-flutter-application-8a4ad39964ae) explores not only how this app was developed but also how to prepare both environments (Android and iOS) for the Tensorflow Lite. ## Authors [stars-shield]: https://img.shields.io/github/stars/cmalbuquerque/repo.svg?style=for-the-badge [stars-url]: https://github.com/cmalbuquerque/repo/audio_recognition_app [medium-shield]: https://img.shields.io/badge/-Medium-black.svg?style=for-the-badge&logo=medium&colorB=555 [medium-url]: https://carolinamalbuquerque.medium.com/audio-recognition-using-tensorflow-lite-in-flutter-application-8a4ad39964ae [linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=555 [linkedin-url]: https://www.linkedin.com/in/carolina-albuquerque29/