Hair Health Analysis App Project Summary

This project focuses on developing an AI-powered mobile application that helps users assess and improve their hair health through photo-based analysis, personalized recommendations, and professional consultation. By combining computer vision, AI analytics, and user engagement features, the platform provides data-driven insights into hair condition and actionable guidance for improvement.

The solution was developed for a confidential beauty-tech company, aiming to enhance customer experience and product personalization through AI.

Hair Analysis App Project Overview

The application is designed to measure multiple aspects of hair health, such as texture, strength, and overall condition, using user-submitted photos. AI models analyze visual data to identify potential issues and generate tailored advice, warnings, and improvement suggestions.

In addition to automated analysis, the platform supports direct consultation with professional counselors, personalized product recommendations, and in-app purchases. Insightful surveys are integrated to better understand user needs and improve engagement over time.

Platforms

Mobile: iOS, Android

Industry

Beauty/Healthcare

Product Type

AI-Powered Beauty & Hair Health Mobile Application

Framework

PHP/ React Native

The client required a mobile solution that leverages AI to assess hair health, personalize guidance, and support user engagement and monetization. Details include:

  • Develop a mobile application with AI-driven hair health analysis

  • Analyze hair condition through user-submitted images

  • Provide personalized advice and early warnings based on AI results

  • Enable real-time consultation via in-app chat with professionals

  • Recommend supporting hair care products tailored to individual needs

  • Support in-app purchases for recommended products

  • Increase user engagement through surveys and feedback mechanisms

  • Ensure a smooth and intuitive user experience

The application provides AI-based analysis, expert consultation, tailored product suggestions, and interactive tools for hair care improvement.

  • AI-based hair health analysis from uploaded photos

  • Measurement of hair texture, strength, and condition

  • Personalized recommendations and warnings

  • In-app chat with professional hair counselors

  • Product recommendation engine based on AI insights

  • In-app purchasing flow for supporting products

  • Interactive surveys for hair improvement tracking

  • User profile and analysis history management

The project needed to ensure accurate analysis, meaningful recommendations, and a smooth user experience while protecting sensitive user data.

  • Ensuring accurate AI analysis across different hair types and lighting conditions

  • Translating AI insights into understandable, actionable advice

  • Balancing automation with access to human consultation

  • Maintaining data privacy for sensitive user images

  • Delivering fast analysis without impacting user experience

The team developed a mobile-first AI analytics platform integrating computer vision with user engagement features. AI models process uploaded images to assess hair health, while backend systems generate personalized insights and product recommendations.

Key solutions include:

  • AI-powered image analysis pipeline

  • Rule-based and AI-driven recommendation logic

  • Secure image handling and data storage

  • Real-time chat system for professional consultation

  • Seamless integration of product recommendations and purchases

Modern mobile, backend, and AI technologies were applied to ensure performance, scalability, and secure data handling.

Technologies used:

  • Mobile Development: React Native

  • Backend: PHP

  • AI / Analytics: Computer vision–based image analysis

  • Chat System: In-app real-time messaging

  • Security: Secure image storage and data protection

  • Infrastructure: Scalable backend services

The solution delivered a scalable, user-friendly app that improves engagement, personalization, and data-driven hair care experiences.

  • Delivered a functional AI-powered hair health analysis application

  • Enabled personalized guidance and early issue detection

  • Improved user engagement through interactive surveys and consultations

  • Supported targeted product recommendations and in-app purchases

  • Established a scalable foundation for future AI model enhancement

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