SkinAlyze Mobile App

Mohsin Ali | May 2024 - Dec 2024

Introduction

I developed an innovative Skincare AI Solution, a cutting-edge mobile application designed to revolutionize skincare routines by leveraging advanced Face AI technology. This app empowers users to analyze their facial attributes and receive tailored skincare recommendations, making skincare management personalized and effective.

Purpose and Goal

The goal of this project was to create an intuitive, user-friendly hybrid mobile app that seamlessly integrates machine learning for facial analysis with recommendation algorithms. The system assesses key skin parameters, such as acne severity, skin moisture levels, and wrinkle scores, to deliver a personalized skincare regimen. This solution bridges technology and wellness, offering users a practical tool for improving their skin health.

Tools Used

React Native (Expo-managed workflow) for app development
Node.js for backend APIs and data handling
TensorFlow.js for machine learning facial analysis
AWS S3 for image storage and retrieval
MongoDB for storing user profiles and skin analysis results

Spotlight

One of the standout features of this project is the real-time skin analysis using TensorFlow.js. Users can upload or capture an image of their face, which is processed by the AI to generate a detailed skin report. Based on this analysis, the app provides personalized product recommendations and tips to enhance skincare routines. This integration of AI into a mobile app for practical skincare use was a unique and fulfilling achievement.

Challenges

Facial Attribute Detection: Training the model to accurately detect and analyze diverse skin types and conditions was a complex task. I worked extensively to fine-tune the machine learning model for accuracy and reliability.
Real-Time Processing: Ensuring fast and seamless processing of images while maintaining the app's performance required optimizing the ML model and backend APIs.
User Experience: Designing an intuitive interface that guides users through the skin analysis process while presenting results in an easy-to-understand format was challenging but rewarding.

Main Takeaways

By leveraging the power of machine learning and React Native, I successfully delivered a hybrid mobile app that combines AI-driven insights with practical usability.
The project reinforced the importance of optimizing AI models for mobile applications, balancing accuracy with performance.
Collaborating across multiple domains, from AI and backend development to UI/UX design, showcased the potential of interdisciplinary approaches to deliver innovative solutions.