Required Features
1. Process Simulation
	•	Simulate a production line where ICs pass through:
	◦	Wafer Closer
	◦	Pin Welder
	◦	Test Machine
	•	Each IC has a small chance of defect at each stage (controlled by user input)
	•	Generate a stream of ICs with pass/fail results

2. Statistical Process Control (SPC)
	•	Use a P-chart to monitor defect rate over time
	•	Detect if 30-sample rolling failure rate exceeds a predefined control limit (e.g., 0.3)
	•	Highlight trend breaches as potential quality issues

3. GUI Dashboard
	•	Display:
	◦	Real-time total ICs tested
	◦	Pass/fail count
	◦	SPC control chart (matplotlib)
	•	Add input fields for defect rates for each upstream process
	•	Add buttons: Start, Stop, Reset, Generate AI Report

4. LLM Insight Button
	•	Add a button that:
	◦	Sends IC test summary + simulated machine logs to an LLM
	◦	Gets back a diagnostic report (simulate or use API)
	◦	Shows results in a pop-up

Tech Stack
	•	Python 3.8+
	•	Libraries: tkinter, matplotlib, numpy, random, (openai optional)

Deliverables
	•	One .py file, self-contained
	•	Well-commented and modular code (for education/demo use)
	•	Ensure GUI fits within 1920×1080 resolution