AuraSnap: A Hybrid Model for Face-Based Photo Sorting and Organization
DOI:
https://doi.org/10.65521/ijacect.v14i3s.1645Keywords:
PyTorch
TensorFlow
OpenCV
Customtkinter
Abstract
Aurasnap is an AI-powered photo management system that automates sorting and delivering event photos using face recognition. It detects and categorizes faces from large photo collections, saving photographers significant time and effort. The system also supports automatic watermarking to protect brand identity and integrates with PyWhatKit for direct WhatsApp photo delivery. Built with customtkinter for an easy interface and powered by OpenCV and PyTorch/TensorFlow for recognition, it offers both technical efficiency and user-friendliness. Overall, Aurasnap enhances productivity and customer satisfaction for photography studios.
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Published
2025-12-22
How to Cite
Dsouza , J. M., Mhatre, P., Meher, P., Raut, N., & D’silva, S. (2025). AuraSnap: A Hybrid Model for Face-Based Photo Sorting and Organization. International Journal on Advanced Computer Engineering and Communication Technology, 14(3s), 374–382. https://doi.org/10.65521/ijacect.v14i3s.1645
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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
