This deep learning application can detect Facial Keypoints (15 unique points). They mark important areas of the face - the eyes, corners of the mouth, the nose, etc.

Real-time selfie filters using facial keypoints regression and opencv

Creating Selfie Filters using facial keypoint detection and OpenCV

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Smart Selfie using OpenCV and ML is a cutting-edge project that leverages computer vision and machine learning to enhance selfie photos, providing real-time facial recognition and smart filters for stunning self-portraits.

A real-time camera app built with PySide6, OpenCV, and MediaPipe. Features face detection (Haarcascade/DNN) with blur and emoji overlays, AI-powered background replacement/effects via selfie segmentation, and 80+ live camera filters including artistic, retro, beauty, distortion, and Instagram-style effects — all in one tab-based GUI.