Project Overview
Built SnapSort, a cross-platform desktop app for offline, face-based image sorting and browsing; efficiently handled 5,000+ images in under 10 minutes using a GPU-accelerated CNN pipeline, leading to an 80% reduction in manual photo curation time and 98% face detection accuracy.
This project demonstrates expertise in Python, PyQt5, face_recognition and other modern technologies.
Domain expertise: Open-Source, Cross Platform, Desktop Application, Media Viewer
Demo Video
Watch the full demo to see SnapSort in action
Key Features
- Open-Source
- Cross Platform
- Desktop Application
- Media Viewer
Technology Stack
PythonPyQt5face_recognitiondlib (CUDA)FaissSQLitemultiprocessingOpenCVPillow