Project Name: JARVIS Command Center (AI Tactical Tracker) Short Summary: A futuristic, computer-vision powered HUD that transforms standard video feeds into a cinema-style tactical interface. Built with Python, OpenCV, and YOLOv8, it blends professional object detection with "Iron Man" inspired visual effects.
Full Description: The JARVIS Command Center is a standalone desktop application designed to bridge the gap between raw AI analytics and high-end sci-fi aesthetics. Unlike standard detection boxes, JARVIS utilizes a custom "Chaos Web" engine to visualize data, surrounding targets with organic, orbiting nodes and dynamic connection lines.
Beyond visuals, it serves as a functional analysis tool featuring velocity estimation, class-specific target locking (filtering for persons/vehicles), and a privacy-compliance mode that automatically redacts/blurs detected subjects in real-time.
Key Capabilities:
👁️ Chaos Web FX: A dynamic visualization engine that tracks objects with floating, breathing data webs instead of static bounding boxes.
🎯 Target Lock: Intelligent filtering to isolate specific object classes (e.g., "Persons Only" or "Vehicles Only") while ignoring background noise.
⚡ Velocity Analytics: Real-time speed estimation (pixels/second) displayed directly on the HUD.
🛡️ Privacy Mode: Instant "Redaction Protocol" that switches from visual tracking to a Gaussian blur filter for anonymizing faces or license plates.
📸 Rapid Intel: One-click snapshot capability to capture high-resolution evidence frames without interrupting the video feed.
Tech Stack:
Engine: Python 3.13 + OpenCV
AI Core: Ultralytics YOLOv8 (Nano)
Interface: Tkinter (Custom Dark Theme)
Build: PyInstaller (Standalone Executable)