No description available

👁️ Computer Vision Internship Portfolio — From OpenCV basics (age/color/face/tumor detection) to ML-powered projects: YOLOv8 for license plates & weather, MediaPipe for anonymization, Stable Diffusion for image gen/captioning, DeepFace for analysis, and Streamlit apps. Covers classification, object detection, pose, segmentation, OCR, and much more

This tool processes 4K videos locally and automatically pixelates vehicle license plates and faces using YOLOv8. Optimized for Apple Silicon (M-series) and action-cam footage, it prioritizes data protection by reliably anonymizing sensitive visual information while preserving video quality and audio.

Real-time face anonymization for privacy-preserving video analytics (MediaPipe, YOLOv8).

Real-time classroom behavior monitoring using YOLOv8 & MediaPipe — detects phone use, talking, and sleeping with built-in face blurring and student anonymization.

A Dual-Engine Pipeline for Automated Privacy Anonymization: Leverages custom apparel markers and YOLOv8 to provide high-speed, real-time face blurring

Python script to blur faces for anonymization in videos. Identifies bounding box coordinates based on a YOLOv8 model trained to detect faces, blurs area, and saves output as new video. Shoutout to Delong Qi - For the original model, check: https://github.com/derronqi/yolov8-face

A real-time AI vision pipeline built with YOLOv8 and NVIDIA TensorRT for GPU-accelerated inference. This project performs live object detection and applies multi-layer, privacy-preserving face anonymization in video streams. Designed with performance, security, and deployment readiness in mind.

BlurGuard uses YOLOv8 to detect faces in real-time video and applies automated blurring for privacy protection. Built with Python and OpenCV, it's ideal for surveillance, anonymizing content, or ethical data sharing. Supports webcam and video file input