u/slakashkumar

Working on 4 deeptech ideas at the intersection of AI, graphics, XR, and sensing would love feedback from the community

  1. Browser-based 3D rendering + WebGPU workflows
  2. Synthetic data generation for ML pipelines
  3. Gaussian splatting / neural scene representations
  4. Camera-based physiological sensing (rPPG)

Trying to understand:

  • real-world usefulness vs hype
  • infrastructure complexity
  • defensibility
  • research gaps
  • startup potential
  • long-term market direction

Would appreciate:

  • paper recommendations
  • technical criticism
  • open-source repos
  • startup examples
  • engineering challenges people faced in production
reddit.com
u/slakashkumar — 16 hours ago

Working on 4 deeptech ideas at the intersection of AI, graphics, XR, and sensing would love technical feedback from the community

  1. Browser-based 3D rendering + WebGPU workflows
  2. Synthetic data generation for ML pipelines
  3. Gaussian splatting / neural scene representations
  4. Camera-based physiological sensing (rPPG)

Trying to understand:

  • real-world usefulness vs hype
  • infrastructure complexity
  • defensibility
  • research gaps
  • startup potential
  • long-term market direction

Would appreciate:

  • paper recommendations
  • technical criticism
  • open-source repos
  • startup examples
  • engineering challenges people faced in production
reddit.com
u/slakashkumar — 16 hours ago
▲ 2 r/u_slakashkumar+2 crossposts

Working on 4 deeptech ideas at the intersection of AI, graphics, XR, and sensing would love technical feedback from the community

  1. Browser-based 3D rendering + WebGPU workflows
  2. Synthetic data generation for ML pipelines
  3. Gaussian splatting / neural scene representations
  4. Camera-based physiological sensing (rPPG)

Trying to understand:

  • real-world usefulness vs hype
  • infrastructure complexity
  • defensibility
  • research gaps
  • startup potential
  • long-term market direction

Would appreciate:

  • paper recommendations
  • technical criticism
  • open-source repos
  • startup examples
  • engineering challenges people faced in production
reddit.com
u/slakashkumar — 2 days ago
▲ 6 r/u_slakashkumar+1 crossposts

Built an XR system that recognizes heart signals using just a camera would love feedback

We started exploring a simple question:

>

That led us into remote photoplethysmography (rPPG) estimating heart rate using subtle pixel variations from the face captured through a webcam/camera.

From there, we started thinking:

What if physiology wasn’t just shown as numbers… but experienced spatially?

So we built CardioVerse an XR concept where:

  • heart rate drives a reactive environment
  • emotions influence colors and atmosphere
  • blood flow and hormones become visual elements
  • AR overlays can show physiological state
  • VR mode turns the body into a navigable “digital twin”

Some scenarios we explored:

  • XR glasses in a meeting room showing calm/stress states (consent-based)
  • immersive VR “inside the body” visualization
  • phone-based AR self-analysis using camera input only

Current stack:

  • rPPG (CHROM / POS methods)
  • OpenCV + signal processing
  • Three.js / WebXR
  • real-time BPM streaming via WebSocket

Would genuinely love feedback on:

  • the product direction
  • technical realism
  • XR interaction ideas
  • ethical/privacy considerations
  • possible healthcare / wellness use cases

Linked in Post

u/slakashkumar — 2 days ago