What is face-recognition-analysis-system?

Tactical Vision Core is a real-time face analysis dashboard built by a team called TEAM FLUX. It uses a webcam to capture live video and then runs facial analysis on each frame to estimate a person's age, identify gender, and detect their dominant mood, such as happy, sad, angry, or neutral. What makes this project distinct is its visual presentation. The web dashboard is styled like a futuristic military command center, with a glassmorphism look built using Tailwind CSS, neon text, and a scanning animation overlay. The color theme of the whole interface actually changes based on the detected emotion: a cyan glow for a neutral state, red for anger, and purple for sadness or fear. Under the hood, the system relies on OpenCV for video handling and DeepFace for the actual face analysis, using precise face detection backends called MTCNN and RetinaFace. The backend is written in Python with the Flask framework, which serves both a REST API and a live video stream. To keep things responsive, the analysis runs on its own background thread using multi-threading and frame-skipping, so the video feed does not freeze up while the face analysis is happening in parallel. The project can be run in two different ways. Running app.py starts a full Flask web server that streams the themed dashboard to a browser, sending fresh analysis data as JSON roughly once per second. Running main.py instead opens a simpler desktop window using OpenCV directly, showing the live camera feed with a bounding box drawn around any detected face. Setup starts with cloning the repository, and the README includes the initial clone and change-directory commands, though the setup section is cut off before further install steps are shown. This project would suit developers or hobbyists interested in computer vision demos, or anyone who wants a visually striking way to show off real-time face and emotion detection on their own webcam.