Keras model integration with react native
Budget: $10 – $30 USD
I am looking for a freelancer who can integrate a pre-trained Keras model for image classification with my React Native application. The primary platform for the application is both iOS and Android. The ideal candidate should have experience with Keras and React Native development. The project will involve the following tasks:
- Integration of pre-trained Keras model with React Native application
- Testing and debugging of the integrated model
- Ensuring compatibility with both iOS and Android platforms
- Providing documentation and support for future maintenance
Skills and experience required:
- Proficiency in Keras and React Native development
- Experience with image classification models
- Familiarity with both iOS and Android platforms
- Strong problem-solving and debugging skills
If you have the required skills and experience, please submit your proposal with relevant past work samples and a timeline for completing the project.
The model of the project is trained with keras, and in react native, the parts of taking a photo and selecting a picture from the gallery are done. Only the trained deep learning model will be included in the model and the prediction part will be made on the selected picture.
- Integration of pre-trained Keras model with React Native application
- Testing and debugging of the integrated model
- Ensuring compatibility with both iOS and Android platforms
- Providing documentation and support for future maintenance
Skills and experience required:
- Proficiency in Keras and React Native development
- Experience with image classification models
- Familiarity with both iOS and Android platforms
- Strong problem-solving and debugging skills
If you have the required skills and experience, please submit your proposal with relevant past work samples and a timeline for completing the project.
The model of the project is trained with keras, and in react native, the parts of taking a photo and selecting a picture from the gallery are done. Only the trained deep learning model will be included in the model and the prediction part will be made on the selected picture.