Hands-Free Desktop Photo Capture
Budget: ₹1,500 – ₹12,500 INR
I’ve built the core proof-of-concept for an AI tool that snaps photos on a Windows or macOS computer whenever the user holds up a specific finger-count gesture. Now I want to refine it into a polished, cross-platform application.
Key behaviour
• Finger-counting gesture starts a smart timer that defaults to 5 seconds, then triggers the camera shutter.
• The captured image uploads instantly to the user’s Google Drive (or another Google Cloud bucket, as configured).
• A unique QR code is generated on the spot and displayed so the photo can be shared or downloaded with a single scan.
What I need from you
1. Production-ready gesture-recognition pipeline (OpenCV, MediaPipe, TensorFlow, or similar) tuned for finger counting in normal indoor lighting.
2. Lightweight desktop UI—native, Electron, or PyQt—showing live preview, countdown overlay, recent upload status, and the generated QR code.
3. Seamless Google Drive authentication and automatic file push, with error handling for offline scenarios.
4. Clean, commented source, packaged installers for Windows and macOS, plus a short README or video demo.
I’m open to your preferred frameworks as long as performance is smooth on typical laptops and setup remains straightforward for end users. Looking forward to seeing how you can polish this into a delightful, touch-free photo experience.
Key behaviour
• Finger-counting gesture starts a smart timer that defaults to 5 seconds, then triggers the camera shutter.
• The captured image uploads instantly to the user’s Google Drive (or another Google Cloud bucket, as configured).
• A unique QR code is generated on the spot and displayed so the photo can be shared or downloaded with a single scan.
What I need from you
1. Production-ready gesture-recognition pipeline (OpenCV, MediaPipe, TensorFlow, or similar) tuned for finger counting in normal indoor lighting.
2. Lightweight desktop UI—native, Electron, or PyQt—showing live preview, countdown overlay, recent upload status, and the generated QR code.
3. Seamless Google Drive authentication and automatic file push, with error handling for offline scenarios.
4. Clean, commented source, packaged installers for Windows and macOS, plus a short README or video demo.
I’m open to your preferred frameworks as long as performance is smooth on typical laptops and setup remains straightforward for end users. Looking forward to seeing how you can polish this into a delightful, touch-free photo experience.