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The system analyzes skin tone, skin type, and facial structure to generate personalized recommendations, techniques, and an inclusive beauty experience. Built using the Waterfall development model and Flutter for cross-platform support, it includes skin detection, tailored suggestions, and history tracking. UML diagrams, database schemas, and UI mockups support implementation, followed by accuracy-focused testing. 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Yasin 1*  \n1 Fakulti Sains Komputer dan Teknologi Maklumat,  \nUniversiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, 86400, MALAYSIA  \n*[Corresponding Author: ysuhaila@uthm.edu.my](Corresponding Author: ysuhaila@uthm.edu.my)  \nDOI: [https://doi.org/10.30880/aitcs.2026.07.01.040](https://doi.org/10.30880/aitcs.2026.07.01.040)  \n\n| Article Info\u003Cbr>Received: 15 June 2025\u003Cbr>Accepted: 21 June 2026\u003Cbr>Available online: 30 June 2026\u003Cbr>Keywords\u003Cbr>Makeup, Beauty, Artificial Intelligence, mobile application | Abstract\u003Cbr>The Your Beauty Guide App: Smart Makeup Assistant is an AI-powered solution designed to simplify makeup selection for diverse skin tonesand types, eliminating mismatched products and unreliable advice. Using AI, it analyzes skin tone, type, and facial structure to offer personalized recommendations and techniques, enhancing natural beauty and inclusivity. Developed via the Waterfall Model (analysis, design, implementation, testing, maintenance), the app ensures systematic progress. Built with Flutter, it supports cross-platform use on Windows 11 and mobile devices. Key features include skin detection, tailored recommendations, and history tracking, reducing reliance on biased beauty advisors. Development involved UML diagrams, database schemas, and UI mockups, followed by AI integration and rigorous testing for accuracy. The app successfully minimizes trial-and-error purchases, offering a user-centric, AI-driven beauty experience. Future enhancements may include expanded AI learning and advanced customization, showcasing how technology can make makeup selection inclusive, efficient, and personalized. |\n| --- | --- |\n\n1. Introduction  \nMakeup has long been an essential tool for enhancing women's beauty. Currently, individuals seeking makeup assistance typically consult beauty advisors, who must be knowledgeable about various cosmetic products. A beauty advisor's responsibilities include demonstrating makeup techniques, recommending products tailored to clients' needs, and educating customers about product details such as ingredients, application methods, and pricing [1] . However, beauty advisors may sometimes recommend unsuitable products due to marketing agreements or other biases. Many users struggle to find makeup that complements their unique skin type and tone, often resulting in unnecessary spending on incompatible products. In today's digital era, there is a growing need for accessible, technology-driven makeup assistance. This demand has led to the integration of Artificial Intelligence (AI) in the beauty industry. AI refers to technology that enables machines and computers to simulate human-like learning, comprehension, problem-solving, decision-making, creativity, and autonomy [2] .  \nIn the beauty industry, many people depend on beauty advisors for help with makeup, but this has its challenges. Beauty advisors sometimes suggest products not because they are the best fit, but because of marketing deals. Another issue is that many people find it hard to choose the right makeup for their unique skin type and tone. This leads to wasted money on unsuitable products or struggles with applying makeup that highlights their natural beauty. To address these challenges, Your Beauty Guide App: Smart Makeup Assistant is proposed. This app will make it easier for users to pick the right products and techniques, offering inclusivity and personalized solutions for everyone. The objectives ofthis system are firstly to design a Smart Makeup Assistant  \nApplication using an object-oriented approach. This approach ensures that the project follows a structured flow through phases of the software development life cycle. The application will be developed using Android technology to ensure compatibility with many mobile devices and lastly the system functionalities will be thoroughly tested to ensure it performs effectively.  \nThe ","cbCaiat0fCnggilU","https://ap.wps.com/l/cbCaiat0fCnggilU","pdf",2319292,20,"English","# Introduction\n## Problem background\n## Proposed system and objectives\n## Users and modules\n# Related Work\n## Technology used","[{\"question\":\"What problem does Your Beauty Guide App: Smart Makeup Assistant address?\",\"answer\":\"It addresses difficulty finding makeup that matches unique skin tones and types, which can lead to incompatible purchases and challenges applying makeup effectively.\"},{\"question\":\"How does the app generate personalized makeup recommendations?\",\"answer\":\"It uses AI to analyze skin tone, skin type, and facial structure, then provides tailored product and technique suggestions.\"},{\"question\":\"Which development approach and technologies were used?\",\"answer\":\"The system was developed using the Waterfall model and implemented with Flutter for cross-platform support, including Windows 11 and mobile devices.\"}]","Your Beauty Guide App - Smart Makeup Assistant - AI-powered mobile makeup assistant for diverse skin tones and types | PDF",1789331867,7]