A VR training simulation for Red Cross America to assist instructors in teaching students how to collect blood samples and handle emergency situations during blood collection from donors. Enabled users to host and join rooms, observe each other performing training procedures, and communicate via chat within the VR training environment. Independently developed all multiplayer features, ensuring seamless interaction and collaboration among users.

Designed and implemented a multi-platform project inspired by Apple’s Reality Composer, allowing users to create scenes with objects such as texts, animations, and externally downloaded models. Enabled serialization of scene data, which is saved to a cloud location, allowing users to download and visualize scenes within an Augmented Reality environment. Supported both mouse input and touch input from smart devices, ensuring a versatile user experience across platforms. The entire project was conceptualized and developed independently, showcasing a comprehensive understanding of AR technology and user interface design.

A VR training simulation for Red Cross America to assist instructors in teaching students how to collect blood samples and handle emergency situations during blood collection from donors. Enabled users to host and join rooms, observe each other performing training procedures, and communicate via chat within the VR training environment. Independently developed all multiplayer features, ensuring seamless interaction and collaboration among users.

An AR application featuring real-time maps, image recognition, screen recording, points of interest, and social media support. Enabled users to view virtual points of interest within the real-world environment, with real-time distance calculations between the points and the player. Integrated multimedia capabilities, allowing the app to play online videos, gifs, mp3 files, and load GLTF models with animations.

An AR scanner component of the project, leveraging an image-based AR SDK to recognize specific images with precision. Enabled the app to play videos, gifs, and display 3D content based on user designs through a web-based editor. Ensured that all augmentations were locked onto the recognized images, providing best-in-class image tracking quality. Successfully handed over the project to the client’s development team for further enhancements and deployment.

An AR prototype project promoted by multiple media groups, leveraging SLAM technology to visualize different floor plans with high precision. Implemented real-time area calculations of the scanned floor, providing users with immediate feedback. Enabled users to change and rotate textures, as well as measure the distance between any two points on the floor, all with real-time computational accuracy. Ensured robust performance and accuracy, enhancing the usability and practicality of the application.