{"id":65,"date":"2025-04-27T06:54:41","date_gmt":"2025-04-27T06:54:41","guid":{"rendered":"https:\/\/collincheuk.com\/?page_id=65"},"modified":"2025-05-03T06:12:25","modified_gmt":"2025-05-03T06:12:25","slug":"projects-page","status":"publish","type":"page","link":"https:\/\/collincheuk.com\/?page_id=65","title":{"rendered":"Projects"},"content":{"rendered":"
\n

Project Showcase<\/h2><\/div><\/div><\/div>

The collection.<\/p><\/div><\/div><\/div>

<\/i><\/span>

Deep Learning NSFW Image Classifier<\/strong><\/h3>\n

Deep Learning | Computer Vision<\/p><\/div><\/div><\/div><\/span><\/span>

<\/i><\/i><\/span>
Learn More<\/span><\/div><\/div><\/a><\/div>
<\/i><\/span>

SMS Spam Detection Classifier<\/strong><\/h3>\n

NLP | Machine Learning | Text Classification<\/p><\/div><\/div><\/div><\/span><\/span>

<\/i><\/i><\/span>
Learn More<\/span><\/div><\/div><\/a><\/div>
<\/i><\/span>

IMDB Movie Review Sentiment Classifier<\/strong><\/h3>\n

NLP | Deep Learning |  Sentiment Analysis | Text Classification<\/p><\/div><\/div><\/div><\/span><\/span>

<\/i><\/i><\/span>
Learn More<\/span><\/div><\/div><\/a><\/div>
<\/i><\/span>

Reddit Post Authorship & Behavioral Analysis<\/strong><\/h3>\n

NLP | Reddit API | Data Visualization | Text Classification <\/p><\/div><\/div><\/div><\/span><\/span>

<\/i><\/i><\/span>
Learn More<\/span><\/div><\/div><\/a><\/div>
<\/i><\/span>

Salmon Weight Prediction with Support Vector Regression<\/strong><\/h3>\n

Machine Learning | Regression | Data Cleaning<\/p><\/div><\/div><\/div><\/span><\/span>

<\/i><\/i><\/span>
Learn More<\/span><\/div><\/div><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
\n

Deep Learning NSFW Image Classifier<\/strong><\/h2><\/div><\/div><\/div>

Project Type:<\/strong> Image classification using TensorFlow and deep learning
Type:<\/strong> Deep Learning | Computer Vision
Tools:<\/strong> Python | TensorFlow | Keras | OpenCV | NumPy | Reddit API | Jupyter | GitHub<\/p>\n

Overview:<\/strong>
Developed a deep learning model to detect and classify unsolicited explicit images (commonly known as “dick pics”) to promote safer digital environments. The model distinguishes between explicit and non-explicit content with 99.26% accuracy<\/strong> using a custom-built image dataset.<\/p>\n

Key Technologies:<\/strong><\/p>\n