A Smartphone Application that uses ML to identify 15 types of fruits & vegetables
ML project using React Native, Python and NodeJS. The React-Native app sends request (with a picture that is sent to the server as part of the request) to the NodeJS server to run (using "PythonShell") the prediction script in python.
Front: React-Native Back: NodeJS ML: Training and making Predictions with Python script using tensorflow & keras (Neural Networks) Emulator: Android Studio Data: collected from picture dataset site https://www.kaggle.com/
The React Native app runs with npm and the NodeJS server runs with VS. (can run on IOS and Android)
notes:
- the dataset is too heavy and will not be included...., but the trained model is inside :)
- the App.tsx -> React native running using npm
- the server.js -> NodeJS runnin using VS
- front & back written using TypeScript