This is an interactive website using Three.js. Click to interact with the website.
Developed a comprehensive mobile application for controlling SmartHome devices through gesture recognition, ensuring enhanced convenience and accessibility for individuals with disabilities and the elderly.
Implemented a Python application leveraging TensorFlow and Keras to classify specific gestures, employing pre-trained machine learning models and training a CNN model to accurately recognize gestures, expanding expertise in mobile computing and machine learning domains.
This is a video app player that I did in Xcode using Swift as the main programming language. This app allows video files to be uploaded and then able to play the video with features such as play, pause and volume. For the simulator I chose the iPhone 12 Pro as seen on the video. This was done following the course from META Introduction to iOS Mobile Application Development and I received the certification: https://coursera.org/share/a619f366fce2f46c0eee4053625daac5
Bonus: The 3D model was also done by me using Zbrush where I sculpted the model and then added texture to it.
This is a project I did at University of California Davis in my Web Development class.
Website from FreeCodeCamp