PROJECT 07 / COMPUTER VISION / PRIVACY / WEB APPLICATION
Share moments, protect identities.
Face Blurring Social Entertainment Platform.
ABOUT THE WORK / 07
From idea to implementation.
Built a privacy-focused social entertainment platform with automatic face blurring using Python, Flask, and OpenCV. It is designed to anonymize faces in uploaded media before sharing or storage.
Key features & contributions
- Integrated OpenCV DNN and Haar Cascade models for face detection and automatic blurring in uploaded images and videos.
- Flask backend for file handling, video processing, and secure upload/download functionality.
- Frontend for media uploads, previews, and blurred-content sharing using HTML, CSS, and JavaScript.
- Focused on privacy protection by anonymizing faces in media before sharing and storage.
TECHNOLOGIES / TOOLS
PythonFlaskOpenCVOpenCV DNNHaar CascadeHTMLCSSJavaScript
COMPUTER VISION
EVIDENCE / SOURCE ACCURACY
Real work. Clear context.
The resume describes this project, but no live website, repository link, or screenshot was supplied. A real demo or source link can be added later.