Inspiration# Movét 🕺💻
A web-based platform using Pose AI to transform screen time into active, engaging fun.
🚀 About the Project
Movét was developed during Hack with CAIR 2025 to explore how AI can be used for good—specifically to combat rising physical inactivity among both young and elderly populations. By using pose estimation and computer vision, we created interactive games that promote movement and health without the need for VR gear—just a camera.
🖥️ Tech Stack
- Front End: HTML, CSS, JavaScript
- AI & Pose Detection: MediaPipe
- Design: Canva
- Video Editing: DaVinci Resolve
🎮 Features & Games
Movét currently features three games designed to improve motor skills and physical activity:
Simon Says
Follow the prompts and match the poses that Simon says.Punch Out
Punch color-coded projectiles detected using real-time pose tracking.Hi-Beat
Move to the rhythm—hit air targets with music guiding the fun.
🎓 Credits
- AI Usage: MediaPipe for pose tracking
- UI Assets: Designed using Canva
- Video Production: Edited in DaVinci Resolve
- Inspiration: Addressing global inactivity with fun, low-barrier movement-based games
👥 Contributors
Alvajoy Asante
UNC Charlotte | Computer Science, Artificial Intelligence, Gaming and Robotics '26
📧 aasante@charlotte.edu | GitHub
Ayemhenre Isikhuemhen
UNC Charlotte | Computer Science, Artificial Intelligence, Gaming and Robotics '26
📧 aisikhue@charlotte.edu | GitHub
Bryan Witherspoon
UNC Charlotte | Computer Science, Software Engineering '26
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