const ME = {
id: "lamnguyen5464",
name: "Lam Nguyen",
role: "Software engineer",
languages: [
"JavaScript",
"Kotlin",
"Java",
"Swift",
"Objective-C",
"Python",
"C/C++",
"Dart",
],
technologies: [
"React-Native",
"Android native",
"iOS native",
"Kotlin multiplatform",
"Flutter",
"SpringBoot",
"Nodejs",
"MySQL",
"Docker",
"Firebase",
],
};
// console.log(JSON.stringify(me, null, 5));
Sketching app with the object-completion by scripting-detection
Queuing is an important aspect of our daily social lives. And it frequently results in unwanted behaviors such as queue-jumping, jostling,… caused by long wait times, and people's varying levels of urgency. Furthermore, because of the ongoing epidemic, there is a high risk of catching the Covid-19 virus while queuing. For the above reasons, we decided to create an application that improves the queueing experience for people, especially during dangerous times such as these.
Caption-based images gallery search Application
Find photos in gallery that match the user's filter tags (through provided keywords or user’s description). Use ML-Kit to integrate TensorFlow Lite model for processing images-labeling in asynchronous thread at native modules (Java, Swift) and emitting to React-native through RCTEventEmitter.
For Window users, you should run:
npm run all_window
or Mac_er only run:
npm run all
...to install neccessary packages and start metro bundle before build/run in Android Studio/Xcode
After clone this project, set up environment of NodeJS (for run local sever), Android Studio, Xcode (if you want to build iOS app).
Change direction to this source and run this setting-up script that I have prepared in yarn
or npm
:
yarn setup
or
npm run setup
This scrip is constructed to set up local websocket server with PORT: 3000
and sync url to configuration files in Android Studio and XCode
Kotlin, Java (Android app), Swift (iOS app), NodeJs, Express, SocketIO.