AI and ML

Skin Analyzing System

The Skin Analyzing System is an AI-powered solution developed by TechTIQ Inc. to evaluate skin conditions and provide personalized skincare insights.

By combining computer vision and deep learning, the system analyzes skin images to detect common issues such as acne, wrinkles, pigmentation, and sun damage, helping users and professionals make better skincare decisions.

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Introduction

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Traditional skin assessment often relies on manual observation, which can be subjective and inconsistent.

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This solution uses advanced image processing and AI models to deliver more accurate and data-driven analysis. By processing high-resolution images, the system can evaluate skin conditions and generate detailed reports in real time.

Our Approach

 

The goal of this solution is to transform skin images into meaningful insights that support diagnosis and personalized skincare recommendations.

To achieve this, TechTIQ Inc. applied computer vision and deep learning techniques to analyze visual data and extract key skin features.

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Library

To build the system, the following libraries were used to support image processing and model development:

  • PyTorch (deep learning models)
  • ONNX (model optimization and deployment)
  • OpenCV (image processing)
  • NumPy (data handling and computation)
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Platform

The solution is deployed on a user-friendly platform that allows users and professionals to easily interact with the system:

  • Streamlit (web-based interface for interaction and reporting)

This platform enables users to upload images, view analysis results, and receive personalized skincare recommendations in a simple and intuitive way.

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