Detection of Skin Imperfections

Face Analysis is an application designed to detect facial imperfections such as eye bags, redness, and acne. The project involved creating a custom artificial intelligence model, specifically trained to identify these flaws through labeled data. The AI model was integrated into Unity using C#. My role included both the development of the custom AI model and its integration into the Unity application.

Game Engine: Unity
Programming Language: C#
Tools: Unity Editor for development, Visual Studio for coding, custom AI model
Platforms: PC, Mobile (iOS, Android)

*Facial Imperfection Detection: Utilizes a custom AI model to detect and analyze various facial imperfections such as eye bags, redness, and acne.
*Custom AI Model: Developed and trained a specialized AI model with labeled data to ensure accurate detection of facial flaws.
*Unity Integration: Integrated the custom AI model into Unity, allowing for real-time analysis of facial images.
*User-Friendly Interface: Created an intuitive interface for users to easily upload and analyze facial images.
*Accurate Results: Ensured high accuracy in detection through extensive training and fine-tuning of the AI model.

1- Data Collection and Labeling: Gathered a diverse dataset of facial images, labeling various imperfections to train the AI model.
2- Model Training: Developed and trained a custom AI model using machine learning techniques, ensuring it accurately detects the labeled imperfections.
3- Unity Integration: Integrated the trained AI model into the Unity environment using C#, enabling real-time analysis and detection.
4- Interface Design: Designed a user-friendly interface for users to upload their facial images and receive analysis results.
5- Testing and Refinement: Conducted thorough testing to ensure the model's accuracy and the application's performance, making refinements based on user feedback.