AuraSnap: A Hybrid Model for Face-Based Photo Sorting and Organization | International Journal on Advanced Computer Engineering and Communication Technology

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Published: Dec 22, 2025

Keywords:

PyTorch, TensorFlow, OpenCV, Customtkinter

Joyce M. Dsouza

Department of Computer Engineering Vidyavardhini’s College of Engineering & Technology(VCET) Vasai, India

Parth Mhatre

Department of Computer Engineering Vidyavardhini’s College of Engineering & Technology(VCET) Vasai, India

Pinak Meher

Department of Computer Engineering Vidyavardhini’s College of Engineering & Technology(VCET) Vasai, India

Niharika Raut

Department of Computer Engineering Vidyavardhini’s College of Engineering & Technology(VCET) Vasai, India

Seon D’silva

Department of Computer Engineering Vidyavardhini’s College of Engineering & Technology(VCET) Vasai, India

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.

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. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/1645

Issue

Vol. 14 No. 3s (2025): Special Issue: AIDCON-2025

Section

Articles

Creative Commons License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

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