From a8ef83200f9463d923d55c3769e7d8a659a59dcf Mon Sep 17 00:00:00 2001 From: eggy Date: Tue, 24 Oct 2023 11:45:49 -0400 Subject: [PATCH] fix: correct links --- Daniel Chen.typ | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/Daniel Chen.typ b/Daniel Chen.typ index b61f0cf..4b8934e 100644 --- a/Daniel Chen.typ +++ b/Daniel Chen.typ @@ -75,28 +75,28 @@ #set strong(delta: SMALL_STRONG) #indent[ -#project("Produce Palate", "https://github.com/potatoeggy/mandown", "Python, OpenCV, Scikit-learn, Flask") +#project("Produce Palate", "https://github.com/christopherlam888/produce-palate", "Python, OpenCV, Scikit-learn, Flask") - Created an image preprocessing algorithm to reduce noise, perform contour detection, and enhance colours - Trained an AI image classifier model with KNN, Random Forest, and SVM algorithms tuned using grid search - Achieved 96% accuracy recognizing 5 distinct classes of fruits and vegetables in a web game built with Flask -#project("Snake Wave", "https://github.com/potatoeggy/primoprod", "Python, OpenCV, Pygame, Flask, PostgreSQL, bcrypt") +#project("Snake Wave", "https://github.com/olivia-yong/htn2023", "Python, OpenCV, Pygame, Flask, PostgreSQL, bcrypt") - Designed a snake game controlled by hand gestures using OpenCV and Google's MediaPipe ML model - Implemented a Flask API with PostgreSQL to handle user authentication with bcrypt and track a leaderboard -#project("The Everyday Watch Collector App", "https://github.com/vincentjguo/recipeready-server", "Kotlin, XML, React, NodeJS, Express, MongoDB, JavaScript") +#project("The Everyday Watch Collector App", "https://github.com/christopherlam888/the-ewc", "Kotlin, XML, React, NodeJS, Express, MongoDB, JavaScript") - Created a user-friendly interface to display 100+ glossary entries and 40+ videos using Kotlin and XML - Utilized Retrofit and Gson to retrieve API data in JSON with seamless fallback to local data upon Internet loss - Automated unit and instrumented tests using Espresso to ensure code quality and minimize regressions - Developed a contributions page using React to send web inputs through a POST request to the REST API - Deployed a REST API using NodeJS, Express, and MongoDB to perform CRUD operations on a cloud database -#project("Catholic Companion (Saints App)", "https://github.com/potatoeggy/boxboxrevolution", "React Native, TypeScript, Python, BeautifulSoup") +#project("Catholic Companion (Saints App)", "https://github.com/christopherlam888/saints-app", "React Native, TypeScript, Python, BeautifulSoup") - Developed an app to display a saint of the day and a list of Catholic prayers in React Native and TypeScript - Devised a web scraping algorithm to extract data with BeautifulSoup and clean data with LanguageTool - Optimized performance with multithreading pools, resulting in a 5x increase in speed to retrieve 250 listings -#project("RecipeReady", "https://github.com/vincentjguo/recipeready-server", "Python, Selenium, Flutter, Dart") +#project("RecipeReady", "https://github.com/christopherlam888/recipe-ready-frontend", "Python, Selenium, Flutter, Dart") - Produced a recipe app to help users plan daily meals with a weekly schedule and a generated grocery list - Gathered 500+ recipes by scraping with Selenium, and created a REST API to get data from a cloud database