Academic Work Project

EcoMatch: UI/UX Design for AI Face Scan Beauty App

Overview

EcoMatch is an AI powered beauty application prototype designed to tackle fast beauty waste and support SDG 12 (Responsible Consumption and Production). As the Business Analyst, UI/UX Designer, and Project Manager, I applied Design Thinking methodology to architect an Augmented Reality (AR) virtual try-on system that analyzes facial features and skin tones, preventing mismatched cosmetic purchases and microplastic pollution.

My Role

Business Analyst UI/UX Designer Project Management

Tools Used

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FUNCTIONALITY

Key Features

AI Makeup Personalization

Computer vision facial detection that analyzes skin undertones to generate accurate makeup recommendations.

AR Virtual Try-On

Real-time Augmented Reality preview allowing users to test cosmetic products virtually without physical samples.

Real-Time NLP Chatbot

AI conversational assistant powered by Natural Language Processing to answer beauty and product inquiries instantly.

Integrated Marketplace Shop

Direct product purchasing flow linked to trusted marketplace partners for recommended cosmetics.

RESULTS & VALUE

Project Impact

Supports SDG 12 by curbing excessive cosmetic packaging and microplastic waste from unused fast beauty products.
Eliminates blind cosmetic purchases through precise AI facial feature and skin undertone matching.
Reduces physical makeup sample consumption through immersive real-time AR try-on experiences.
Enhances purchasing efficiency by connecting virtual try-on results directly to verified marketplace checkout links.
Provides instant 24/7 beauty advice through natural language processing chatbot interactions.
Promotes conscious consumerism by encouraging users to purchase only suitable and necessary beauty products.