🍥 What if Naruto’s Rasengan could actually be controlled with your hands? As a kid, it was just ...🍥 What if Naruto’s Rasengan could actually be controlled with your hands? As a kid, it was just ...
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🍥 What if Naruto’s Rasengan could actually be controlled with your hands?
As a kid, it was just something I saw in anime.
This time, I decided to see if I could bring that idea to life with Python.
So I built Naruto Hand VFX Studio — a real-time computer vision project where hand gestures control:
🔵 Rasengan ⚡ Chidori 🔥 Fireball 💥 Energy Beam
And the interesting part?
These aren’t pre-recorded effects.
Using Python, OpenCV, MediaPipe, and NumPy, the system tracks my hand movements and generates the VFX in real time.
What started as a fun Naruto idea turned into a project where I got to combine computer vision, hand tracking, gesture recognition, animation logic, and procedural VFX in one application.
My setup isn’t a professional studio. But this project reminded me that you don’t always need a perfect setup to build something interesting.
Sometimes, you just need an idea — and the willingness to build it.
#Python #ComputerVision #OpenCV #MediaPipe #NumPy #VFX #PythonProjects #MachineLearning #Programming #Naruto #BuildInPublic
Nugraha's avatar
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@Mosaddek Hosen Sajeeb Using MediaPipe hand tracking to drive procedural Rasengan and Chidori effects in real time is a neat interaction challenge. How do you smooth gesture jitter without adding noticeable latency?
Mosaddek Hosen's avatar
Thanks! The key was balancing frame interpolation and keypoint thresholding. I applied a light moving average filter on the landmarks so micro-shakes get smoothed out in real time without delaying the effect reaction
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