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Smart Multi Event Image Locator and Retrieval Assistant

Authors:

Mr. P.  Logaiyan¹ Mr. S. Sakthinarayanan²

¹Assistant Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering College

²PG Student, Department of Computer Applications, Sri Manakula Vinayagar Engineering College

Abstract: Managing and retrieving event photos efficiently has become increasingly important in today's data-driven world, especially at large-scale gatherings like weddings, corporate functions, and sports meets. Traditional methods of photo retrieval are time-consuming and often frustrating for both attendees and photographers. To overcome these limitations, the Smart Multi Event Image Locator and Retrieval Assistant project introduces an intelligent, face recognition–based web application designed to automate and streamline the image search process.

The system enables users to upload or capture their photo to instantly retrieve all matching images from a centralized event database, eliminating the need for manual searching. Leveraging technologies such as Python Flask, React.js, and MySQL, the platform ensures high accuracy, rapid image processing, and intuitive interaction. Core components include the User Retrieval Module, Admin Photo Management Panel, and the Face Recognition Engine, which work in unison to deliver a seamless experience for both end-users and administrators.

Built with scalability and usability in mind, the system supports real-time face matching, responsive design for various devices, and secure image handling. This project presents a modern, intelligent, and user-focused solution for efficient event photo management and retrieval, with future potential for expansion into video indexing, cloud integration, and multi-face tagging capabilities.

Objectives:

• To design a web-based application that enables event attendees to retrieve their photos using face recognition by uploading or capturing an image.
• To build a robust backend that securely stores and manages images using MySQL and performs real-time face matching with high accuracy.
• To implement an intuitive user interface that simplifies photo search for users while providing photographers with efficient upload and management tools.
• To ensure seamless integration of frontend and backend components using React.js and Flask, while maintaining scalability, performance, and security.

Keywords: Face Recognition, Event Photo Retrieval, Python Flask, React.js, MySQL, Image Matching, Web Application, Photo Management, User Experience, Smart Search, AI-based Retrieval, Face Matching Engine, Event Assistant.