A high-performance Connect 4 implementation for the ESP32-C3 (RISC-V). This version features a "Killer Instinct" AI, human-like animations, and a real-time interrupt system.

🛠 Hardware Configuration

🔌 Pin Mapping (Lolin C3 Mini)

Component	ESP32-C3 Pin	Function
NeoPixel Matrix	`GPIO 4`	Data Input (DIN)
Rotary Encoder A	`GPIO 0`	Directional CLK
Rotary Encoder B	`GPIO 1`	Directional DT
Encoder Button	`GPIO 2`	Selection/Abort (SW)

📐 Physical Layout

Game Board: 7 Columns x 6 Rows.
Top Row (Row 0): Interaction row (Selection & AI Thinking pulse).
UI Border: Row 1 and Column 7 (Blue frame, toggleable via SHOW_BORDER).
Coordinate Formula: Index = (y \times 8) + x

🧠 Advanced AI Features

1. Offense-Priority Strategy

The AI follows a strict 3-phase move evaluation:

Lethal: If the AI can connect four this turn, it takes the win immediately.
Defensive: If the human player has a lethal move, the AI blocks it.
Strategic: If no immediate wins exist, it runs a deep Minimax search.

2. High-Priority Interrupts

The AI's single-core RISC-V processor is kept responsive via an "Abort Flag." Pressing the button or turning the encoder during an AI calculation (Demo or Playing) immediately kills the recursion and returns the user to the Menu.

3. Evolution Mode

AI difficulty scales dynamically: DynamicPly = BasePly + \lfloor \frac{DiscsOnBoard}{7} \rfloor.

🛠 Installation & Build

Environment: VS Code with PlatformIO.
Dependencies: FastLED, Encoder, Preferences.
Build Flags: - -D SHOW_BORDER=1 (Enables blue frame)
- -D SHOW_BORDER=0 (Full-screen board mode)