WaveDeck
Webcam-gesture slide advancer for lecturers, conference speakers, and teachers who want to control presentations without a clicker, Bluetooth pairing, or touching a keyboard mid-talk.
Public speakers, lecturers, and conference presenters who walk the stage away from their laptop
- Six built-in gestures mapped to next slide, previous slide, blank screen, and pointer mode
- Local webcam processing with no cloud calls so it works in offline venues and secure conference rooms
- Custom gesture mapping via YAML so PowerPoint, Keynote, and Google Slides each get the right shortcuts
- Calibration profile per speaker so different hand sizes and lighting conditions work without retraining
Modern webcams and on-device hand-tracking models make webcam-only gesture control finally reliable enough for live presentations, replacing finicky Bluetooth clickers.
Direct competitor GesturePresent launched on Product Hunt and multiple GitHub/Medium tutorials on webcam-gesture slide control exist, suggesting real interest, but clickers ($20-40) and built-in presenter remotes dominate and these projects show low engagement.GesturePresent: Advance slides with gestures | Product Hunt ↗kushalnsetty/hand-gesture-presentation-control - GitHub ↗
Market is already crowded with at least one shipped product (GesturePresent), several open-source GitHub projects using the same MediaPipe stack, and academic papers — not wide-open.GesturePresent - Control Slides with Hand Gestures | Offline Tool ↗kushalnsetty/hand-gesture-presentation-control - GitHub ↗
Free open-source alternatives on GitHub cover the same use case; physical clickers are cheap commodities; GesturePresent's pricing is unclear and the niche is too small to support premium SaaS.kushalnsetty/hand-gesture-presentation-control - GitHub ↗Hand Gesture Controlled Presentation Using Computer Vision ↗
Webcam hand-tracking is steadily improving (MediaPipe, on-device models) so the tech foundation will keep getting better, but the use case is narrow and could be absorbed into OS-level vision/gesture features over time.Virtual Control System for Presentations by Real-Time Hand Gesture Recognition ↗
Trivially buildable using Google MediaPipe Hands + OpenCV; multiple reference implementations already exist on GitHub, proving the stack works.MediaPipe Hands documentation ↗kushalnsetty/hand-gesture-presentation-control - GitHub ↗