Lash Tech: A Web App-Based Lash Recommendation, Virtual Try-On, and Seamless Booking App Using Geo Location Powered by Artificial Intelligence

Abstract

In the expanding field of the lash salon industry, this study tackles common challenges faced by clients through the development of a cutting-edge Web App-Based Lash Recommendation, Virtual Try-On, and Seamless Booking Application powered by AI and Geo Location technology. Clients frequently struggle to select appropriate eyelash styles, have issues with manual appointment booking, and lack methods to locate nearby salons that fulfill their tastes. The AI-driven Lash Recommendation feature analyzes facial features to suggest personalized lash styles, the Virtual Try-On functionality allows clients to virtually preview different styles, and the Seamless Booking feature enables effortless scheduling by locating nearby salons based on preferences and availability. Adhering to ISO 25010:2011 software quality standards, the system underwent rigorous testing and evaluation, resulting in an impressive overall mean satisfaction rating of 4.50 out of 5.00. This rating represents the platform's effectiveness, usefulness, and practicality, and it promises to improve client satisfaction and redefine industry norms.