Resume Project
Yor Ai vs Real Image
ML pipeline to classify AI-generated vs real images using texture-based features (LBP, GLCM) and an SVM classifier.
Overview
Developed a machine learning pipeline to classify AI-generated versus real photographs using OpenCV feature extraction, Scikit-Learn SVM training, Local Binary Pattern, GLCM texture analysis, and a Streamlit upload interface.
Problem
Synthetic images complicate trust, moderation, and provenance checks in visual media.
Solution
A classical computer-vision workflow pairing LBP and GLCM texture features with an SVM classifier and a Streamlit review surface.
Outcome
Demonstrated an end-to-end image classification pipeline with texture features, model training, and user-facing prediction review.
Screenshots
