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followers: 6.0 following: 14.0 repos: 25.0 gists: 0.0

Name: Shoon Zhen Yong

Type: User

Bio: Frontend, UI/UX Developer

Blog: https://www.linkedin.com/in/shoon-zhen-yong-4574a41aa/

Shoon Zhen Yong 's Projects

authentication-secrets

Companion Code for the Authentication Module on The Complete 2019 Web Development Bootcamp

cove-gist

Question: https://gist.github.com/chimit/c6305b1e5cdfe442fcd6d04aaac614c4

crowdfunding-web3

A web3 crowdfunding platform developed using React, Solidity, Thirdweb, Metamask and Hardhat

Crypto.com Hackathon 2022: The Next Gen is an internal initiative by Crypto.com to foster deeper ties with various Singapore Universities' student blockchain, fintech and computing clubs. Our challenge statement is how might we use Web3 to solve a business/social/environmental problem

ecommerce-mobile-app

Ecommerce application built with Flutter and NodeJS

ee0005-classify-cuisine

Classify the type of cuisine based on the ingredients provided from the dataset. The dataset is analyze through decision tree model and random forest classifier (RFC) for accurcacy of model and K-means clustering to explain for wrong predictions.

ee2073-automatic-audio-control-for-audio-amplifier

Build an Automatic Volume Controller for an Audio Amplifier System. It is designed as a controller which controls the gain of the amplifier system automatically so that the desired output level of volume can be obtained.

ee3080-design-and-innovation-project

Develop a 10 cm x 10 cm mini-drone which able to fly semi-autonomously for stock-taking to reduce manual labor

firejet-assignment

Coding assignment from Firejet

flutter-wonderous-app

A showcase app for the Flutter SDK. Wonderous will educate and entertain as you uncover information about some of the most famous structures in the world.

full-blockchain-solidity-course-js

Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript

ie4483-data-mining-and-artificial-intelligence

The mini project is to predict the sentiments of the product review by the application of natural language processing (NLP). Training data is provided with user review of product as raw data, with sentiments. 0 represents negative and 1 represents positive. Testing data is to predict the sentiment with binary classification

ie4717-web-application-design

The objective of this project is to design a web application for pizza order delivery. The web application is a one stop portal for the restaurant. In our homepage, posters and restaurant’s history are displayed. In our web application, users can choose to register and login to our portal for quicker booking process and membership rewards. Our application includes a page showing different food served and their details. Users can customize the food served and add them into their cart. By selecting the cart, users will be directed to our order page to view the full summary of the food added to the cart and the subtotal amount before proceed to payment. Our application also includes a page for users to redeem vouchers through membership points, unique code and deals offered by restaurant. Users can check their redeemed vouchers and add them into the order summary before checking out. Few payment methods will be provided for users to choose for user convenience. Once the payment is done successfully, an email notification including the booking details will be sent to the user. Our application also provides users order history checking feature.

mavericks-coding-test

Two coding test questions by Mavericks Consulting

ntu-blockchain-innovation-pitch-2022

The purpose of the project is to create an application to allow users to travel easily during the Covid-19 pandemic via the execution of smart contracts and generation of NFTs as a valid travel pass as different countries have different travel restrictions which easily confused by travellers

ntu-lemmatree-pocathon-finalist

The objective of the project to create a job search platform for everyone to apply for jobs and discover potential candidates securely, trustworthy and effectively through the application of trusted data (Verifiable Credentials) from Affinidi API and match job applicants with their verified skill sets by leveraging our machine learning algorithm.

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Shoon Zhen Yong 's Projects

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