Facial Image Upload
Upload facial images for processing and skin parameter assessment through a simple user interface.
Skin Analysis Platform
Advanced facial skin analysis using Python, Django, React.js, and computer vision technologies.
A web-based skin analysis platform that analyzes facial images to identify and evaluate eight skin parameters. It uses computer vision and facial landmark detection to assess skin conditions and display percentage-based analysis results through interactive charts and visual reports.
PythonReact JSDjango
Project Overview
- The AI-Powered Skin Analysis Platform is a web application developed using Python, Django, and React.js to analyze facial skin parameters from uploaded images. The platform processes facial images using computer vision and image processing techniques to identify specific facial regions and evaluate visible skin characteristics.
- Using OpenCV, MediaPipe, and scikit-image, the system processes images, detects facial landmarks, extracts regions of interest, and analyzes eight key skin parameters: blemishes, wrinkles, oiliness, texture, redness, dark spots, dark circles, and dryness.
- The platform generates percentage-based analysis results for each parameter and presents the findings through interactive charts, helping users understand the analyzed skin characteristics in a clear and structured format.
- The solution combines backend processing with an interactive React.js interface to deliver an organized and user-friendly skin analysis experience.
TARGET AUDIENCE
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PLATFORM
AL/ML Solutions, Web Application
INDUSTRY
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DELIVERY TIMELINE
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Technologies we used
Technology stack
Python
React JS
Django
Powerful Features
Key capabilities delivered in this project.
Facial Landmark Detection
Uses MediaPipe to detect facial landmarks and identify key facial regions, including the forehead, cheeks, nose, chin, and under-eye areas.
Eight-Parameter Skin Analysis
Evaluates visible facial characteristics across blemishes, wrinkles, oiliness, texture, redness, dark spots, dark circles, and dryness.
Percentage-Based Results
Generates percentage-based values for each skin parameter according to the implemented image-analysis algorithms.
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