Clean up README and establish comprehensive wiki structure

README.md improvements:
- Reorganized with clearer sections (Key Features, Documentation, Quick Start, etc.)
- Added badges for CI/CD, license, .NET version
- Improved navigation with role-based quick links
- Updated architecture overview with simpler component descriptions
- Created feature comparison table
- Enhanced FAQ with practical examples
- Added helpful links section

GitHub Wiki pages created:
- Home.md: Central wiki hub with navigation and project status
- Quick-Start.md: 2-minute setup guide with troubleshooting
- Architecture-Overview.md: Detailed architecture with diagrams and examples
- FAQ.md: 30+ Q&A covering general, usage, architecture, development
- Contributing.md: Complete contribution workflow and guidelines
- Testing-Guide.md: Comprehensive testing documentation with examples

Build: ✅ Success (1.34s)
Ready for: Wiki sync and documentation updates

Author: quickattach0-tech

.github/wiki/Architecture-Overview.md

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+# Architecture Overview
+
+Complete guide to the Deep Learning Protocol architecture.
+
+## System Design
+
+The protocol implements a **hierarchical 4-layer reasoning system** with data protection:
+
+```
+┌────────────────────────────────────────────────────────┐
+│              AbstractCore                              │
+│         (Deepest Reasoning Layer)                      │
+└────────────────────────────────────────────────────────┘
+                     ▲
+                     │
+        ┌────────────┼────────────┐
+        │            │            │
+    ┌───▼───┐  ┌─────▼─────┐ ┌──▼──────┐
+    │ Aim   │  │ Depth     │ │ State   │
+    │Inter- │  │ Inter-    │ │ Inter-  │
+    │face   │  │ face      │ │ face    │
+    └───┬───┘  └─────┬─────┘ └──┬──────┘
+        │            │          │
+        └────────────┼──────────┘
+                 ▼
+        ┌─────────────────────┐
+        │ Data Loss           │
+        │ Prevention (DLP)    │
+        └─────────────────────┘
+```
+
+## Core Components
+
+### 1. AbstractCore
+**The Foundation Layer**
+
+- Provides fundamental reasoning logic
+- Base class for DeepLearningProtocol
+- Method: `ProcessCoreReasoning(string input)`
+- Wraps input in abstract processing notation
+
+**Responsibility**: 
+- Define core operations
+- Provide base functionality
+- Enable inheritance for specialized processing
+
+**Example**:
+```csharp
+public virtual string ProcessCoreReasoning(string input)
+{
+    return $"[Abstract Core] Deep abstract processing: {input}";
+}
+```
+
+---
+
+### 2. IAimInterface
+**Goal-Directed Processing**
+
+- Sets and pursues strategic objectives
+- Drives exploration paths toward goals
+- Methods:
+  - `SetAim(string goal)` — Set a new goal
+  - `PursueAim(string currentState)` — Pursue the current aim
+
+**Responsibility**:
+- Define strategic objectives
+- Guide decision-making
+- Establish success criteria
+
+**Example**:
+```csharp
+public string SetAim(string goal)
+{
+    _aim = goal;
+    UpdateState($"Aiming: {_aim}");
+    return $"Aim set to: {_aim}";
+}
+```
+
+---
+
+### 3. IDepthInterface
+**Hierarchical Processing**
+
+- Recursive application of abstract reasoning
+- Configurable processing depth (1-10 levels)
+- Method: `ProcessAtDepth(string input, int depthLevel)`
+
+**Responsibility**:
+- Control processing complexity
+- Handle recursive operations
+- Enable N-level analysis
+
+**Example**:
+```csharp
+public string ProcessAtDepth(string input, int depthLevel)
+{
+    var processed = input;
+    for (int i = 0; i < depthLevel; i++)
+    {
+        processed = ProcessCoreReasoning(processed);
+    }
+    return $"[Depth {depthLevel}] {processed}";
+}
+```
+
+---
+
+### 4. IStateInterface
+**State Management**
+
+- Tracks operational state
+- Protected updates with DLP integration
+- Methods:
+  - `GetCurrentState()` — Retrieve state
+  - `UpdateState(string newState)` — Update with protection
+
+**Responsibility**:
+- Track system state
+- Manage state transitions
+- Ensure consistency
+
+**Example**:
+```csharp
+public string GetCurrentState() => _currentState;
+
+public void UpdateState(string newState)
+{
+    _dlp.BackupState(_currentState);
+    if (_dlp.IsPotentialMeme(newState))
+    {
+        _currentState = "[DLP-BLOCKED]";
+        return;
+    }
+    _currentState = newState;
+}
+```
+
+---
+
+## Data Loss Prevention (DLP)
+
+**Protective Layer** for state updates.
+
+### What It Detects
+
+✅ Meme-like content:
+- File extensions: `.png`, `.jpg`, `.jpeg`
+- Image data: `data:image/`, `base64,`
+- Keywords: `"meme"`
+
+✅ Binary payloads:
+- Large single-line content (>200 chars, no newlines)
+
+### What It Does
+
+1. **Backs up** — Saves previous state with timestamp
+2. **Blocks** — Prevents suspicious updates
+3. **Logs** — Sets state to `[DLP-BLOCKED]` for visibility
+
+### Backup Structure
+
+```
+.dlp_backups/
+├── state_20231218_150530_123.txt
+├── state_20231218_150540_456.txt
+└── state_20231218_150550_789.txt
+```
+
+---
+
+## Data Flow
+
+### Normal Execution
+
+```
+User Input
+    ▼
+SetAim (IAimInterface)
+    ▼
+ProcessAtDepth (IDepthInterface)
+    ▼
+AbstractCore.ProcessCoreReasoning()
+    ▼
+PursueAim (IAimInterface)
+    ▼
+UpdateState with DLP Protection (IStateInterface)
+    ▼
+Result to User
+```
+
+### Protected State Update
+
+```
+User Updates State
+    ▼
+DLP.IsPotentialMeme()?
+    ├─ YES → Block & Set [DLP-BLOCKED]
+    └─ NO  → DLP.BackupState() → UpdateState()
+    ▼
+State Changed
+```
+
+---
+
+## Integration Points
+
+### With Interactive Menu
+- StateInterface tracks menu selections
+- AimInterface sets menu goals
+- DepthInterface manages menu navigation depth
+
+### With FAQ System
+- StateInterface tracks current FAQ
+- AimInterface provides answers
+- DepthInterface navigates question hierarchy
+
+### With Testing
+- Each interface has dedicated unit tests
+- Edge cases covered (depth limits, meme detection, etc.)
+- 8 comprehensive tests (all passing ✅)
+
+---
+
+## Class Diagram
+
+```
+┌─────────────────────────────────┐
+│    AbstractCore (Abstract)      │
+│  + ProcessCoreReasoning()       │
+└──────────────┬──────────────────┘
+               │
+               │ inherits & implements
+               ▼
+┌──────────────────────────────────────────┐
+│    DeepLearningProtocol                  │
+├──────────────────────────────────────────┤
+│ IAimInterface:                           │
+│  + SetAim(goal)                          │
+│  + PursueAim(state)                      │
+│                                          │
+│ IDepthInterface:                         │
+│  + ProcessAtDepth(input, depth)          │
+│                                          │
+│ IStateInterface:                         │
+│  + GetCurrentState()                     │
+│  + UpdateState(newState)                 │
+│                                          │
+│ - _dlp: DataLossPrevention              │
+│ - ExecuteProtocol()                      │
+└──────────────────────────────────────────┘
+
+┌──────────────────────────────────┐
+│  DataLossPrevention (Standalone) │
+├──────────────────────────────────┤
+│  + IsPotentialMeme(content)      │
+│  + BackupState(state)            │
+└──────────────────────────────────┘
+```
+
+---
+
+## Execution Flow Example
+
+**User Input**: "How to solve AI?"
+
+**Execution Steps**:
+
+1. **SetAim("Solve AI Problems")**
+   - Updates aim to "Solve AI Problems"
+   - Updates state to "Aiming: Solve AI Problems"
+
+2. **ProcessAtDepth("How to solve AI?", 3)**
+   - Layer 1: `[Abstract Core] ... How to solve AI?`
+   - Layer 2: `[Abstract Core] ... [Abstract Core] ... How to solve AI?`
+   - Layer 3: `[Abstract Core] ... [Abstract Core] ... [Abstract Core] ... How to solve AI?`
+
+3. **PursueAim(depthOutput)**
+   - Combines depth result with aim
+   - Returns: `[Aim Pursuit] ... towards Solve AI Problems`
+
+4. **UpdateState (DLP Protected)**
+   - If content is suspicious → **blocked**
+   - If safe → **backed up** and **updated**
+
+---
+
+## Next Steps
+
+- 📖 Read [Getting Started](Getting-Started)
+- 🧪 See [Testing Guide](Testing-Guide)
+- 🤝 Contribute via [Contributing](Contributing)