Face-Blur-App

Project Summary:

The proposed project aims to enhance user privacy and security during video calls on platforms like Facebook and WhatsApp by implementing real-time face detection and blurring. In recent times, there have been increasing incidents of scammers creating fake profiles, engaging in video calls, and recording inappropriate content. To combat this issue, this project offers users the option to enable face detection and automatic blurring during video calls with unknown or untrusted contacts. By integrating computer vision technology, the system can detect faces and apply real-time blurring to protect users' identities and privacy. This proactive approach empowers users to avoid falling victim to scams involving recorded video content.

Tech Stack

Language: Python

Libraries to Use: cv2, Ultralytics, supervision

UI: StreamLit

Model to Use: Finetuned Yolo-V8 Small Model with Custom Dataset

Run Locally

Clone the project

git clone https://github.com/Sathishmahi/face-blur-app.git

create ,activate conda env and install requirements

 bash env.sh 

run streamlit app

bash run.sh

Project Demo Video

face-blur-first_Kt9tnA2U.mp4