diff --git a/README.md b/README.md
index 79644de..b861bf5 100644
--- a/README.md
+++ b/README.md
@@ -7,6 +7,12 @@ Transform GPU monitoring from complex metrics into intuitive visual patterns. En
 ![Dark Mode Dashboard](images/DarkMode-Stressed.png)
 *Real-time GPU metrics visualized for instant comprehension*
 
+## Project Overview
+- [Requirements & User Stories](docs/requirements/REQUIREMENTS.md)
+- [Technical Architecture](docs/architecture/ARCHITECTURE.md)
+- [Development Guide](docs/requirements/DEVELOPMENT_GUIDE.md)
+- [API Documentation](docs/API.md)
+
 ## Why GPU Sentinel Pro?
 
 Do you find yourself:
@@ -86,6 +92,8 @@ See [Installation Guide](docs/INSTALLATION.md) for detailed setup instructions.
 
 ## Documentation
 
+- [Requirements & User Stories](docs/requirements/REQUIREMENTS.md)
+- [Technical Architecture](docs/architecture/ARCHITECTURE.md)
 - [API Reference](docs/API.md)
 - [Installation Guide](docs/INSTALLATION.md)
 - [Contributing Guide](CONTRIBUTING.md)
@@ -93,6 +101,7 @@ See [Installation Guide](docs/INSTALLATION.md) for detailed setup instructions.
 
 ## Tech Stack
 
+![Python](https://img.shields.io/badge/Python-3.10%2B-blue?style=for-the-badge&logo=python&logoColor=white)
 ![FastAPI](https://img.shields.io/badge/FastAPI-005571?style=for-the-badge&logo=fastapi)
 ![React](https://img.shields.io/badge/React-20232A?style=for-the-badge&logo=react&logoColor=61DAFB)
 ![TypeScript](https://img.shields.io/badge/TypeScript-007ACC?style=for-the-badge&logo=typescript&logoColor=white)
diff --git a/docs/architecture/ARCHITECTURE.md b/docs/architecture/ARCHITECTURE.md
new file mode 100644
index 0000000..b96a81c
--- /dev/null
+++ b/docs/architecture/ARCHITECTURE.md
@@ -0,0 +1,311 @@
+# GPU Sentinel Pro - System Architecture
+
+## System Overview
+
+```mermaid
+graph TB
+    subgraph "Frontend Layer"
+        R[React Application]
+        V[Vite Dev Server]
+    end
+
+    subgraph "Backend Layer"
+        F[FastAPI Server]
+        N[NVIDIA SMI Interface]
+        A[Alert Manager]
+    end
+
+    subgraph "Data Layer"
+        S[(Supabase DB)]
+        C[Cache Layer]
+    end
+
+    R -->|HTTP/WebSocket| F
+    F -->|Query| S
+    F -->|Commands| N
+    F -->|Triggers| A
+    A -->|Store| S
+    F -->|Cache| C
+```
+
+## Component Architecture
+
+### Frontend Components
+
+```mermaid
+graph TB
+    subgraph "UI Layer"
+        D[Dashboard]
+        M[Metrics Display]
+        A[Alert Panel]
+        H[History View]
+    end
+
+    subgraph "State Management"
+        Q[Query Client]
+        S[State Store]
+    end
+
+    subgraph "Data Layer"
+        AP[API Client]
+        WS[WebSocket Client]
+    end
+
+    D --> M
+    D --> A
+    D --> H
+    M --> Q
+    A --> Q
+    H --> Q
+    Q --> AP
+    Q --> WS
+    Q --> S
+```
+
+### Backend Services
+
+```mermaid
+graph LR
+    subgraph "API Layer"
+        E[Endpoints]
+        M[Middleware]
+        A[Auth]
+    end
+
+    subgraph "Core Services"
+        GM[GPU Monitor]
+        AM[Alert Manager]
+        HM[History Manager]
+    end
+
+    subgraph "Infrastructure"
+        DB[Database]
+        C[Cache]
+        N[NVIDIA SMI]
+    end
+
+    E --> M
+    M --> A
+    M --> GM
+    M --> AM
+    M --> HM
+    GM --> N
+    AM --> DB
+    HM --> DB
+    GM --> C
+```
+
+## Data Flow
+
+### Real-time Metrics Flow
+1. NVIDIA SMI polls GPU metrics (250ms intervals)
+2. Backend processes and validates data
+3. WebSocket pushes updates to frontend
+4. React components re-render with new data
+5. Metrics stored in time-series database
+
+### Alert Flow
+1. Backend evaluates metrics against thresholds
+2. Alert triggered if threshold exceeded
+3. Alert stored in database
+4. WebSocket pushes alert to frontend
+5. Alert notification displayed
+6. External notifications sent (email/webhook)
+
+## Technical Components
+
+### Frontend Stack
+- **Framework**: React 18+
+- **Language**: TypeScript 5+
+- **Build Tool**: Vite
+- **State Management**: React Query
+- **UI Components**: Custom components
+- **Data Visualization**: Custom charts
+- **WebSocket Client**: Native WebSocket
+
+### Backend Stack
+- **Framework**: FastAPI
+- **Language**: Python 3.10+
+- **ASGI Server**: Uvicorn
+- **Task Queue**: Background tasks
+- **Caching**: In-memory + Redis
+- **Monitoring**: Custom metrics
+
+### Database Schema
+
+#### GPU Metrics Table
+```sql
+CREATE TABLE gpu_metrics (
+    id BIGSERIAL PRIMARY KEY,
+    timestamp TIMESTAMPTZ NOT NULL,
+    gpu_id INTEGER NOT NULL,
+    temperature FLOAT,
+    memory_used BIGINT,
+    memory_total BIGINT,
+    gpu_utilization INTEGER,
+    power_draw FLOAT,
+    power_limit FLOAT,
+    fan_speed INTEGER,
+    metadata JSONB,
+    created_at TIMESTAMPTZ DEFAULT NOW()
+);
+
+CREATE INDEX idx_gpu_metrics_timestamp 
+    ON gpu_metrics (timestamp DESC);
+CREATE INDEX idx_gpu_metrics_gpu_id 
+    ON gpu_metrics (gpu_id);
+```
+
+#### Alerts Table
+```sql
+CREATE TABLE alerts (
+    id BIGSERIAL PRIMARY KEY,
+    timestamp TIMESTAMPTZ NOT NULL,
+    gpu_id INTEGER NOT NULL,
+    alert_type VARCHAR(50) NOT NULL,
+    severity VARCHAR(20) NOT NULL,
+    message TEXT NOT NULL,
+    value FLOAT,
+    threshold FLOAT,
+    acknowledged BOOLEAN DEFAULT FALSE,
+    acknowledged_at TIMESTAMPTZ,
+    created_at TIMESTAMPTZ DEFAULT NOW()
+);
+
+CREATE INDEX idx_alerts_timestamp 
+    ON alerts (timestamp DESC);
+CREATE INDEX idx_alerts_gpu_id 
+    ON alerts (gpu_id);
+```
+
+## Security Architecture
+
+### Authentication Flow
+1. Client requests access
+2. Server validates credentials
+3. JWT token issued
+4. Token included in subsequent requests
+5. Token refresh mechanism
+
+### Authorization Levels
+- **Admin**: Full system access
+- **User**: View and acknowledge alerts
+- **Reader**: View-only access
+- **API**: Programmatic access
+
+### Data Security
+- Encryption at rest
+- TLS for data in transit
+- Secure WebSocket connections
+- Rate limiting
+- Input validation
+
+## Deployment Architecture
+
+### Development Environment
+```mermaid
+graph LR
+    D[Developer] --> L[Local Environment]
+    L --> T[Tests]
+    T --> G[Git]
+    G --> A[GitHub Actions]
+```
+
+### Production Environment
+```mermaid
+graph LR
+    G[GitHub] --> A[GitHub Actions]
+    A --> B[Build]
+    B --> T[Test]
+    T --> D[Deploy]
+    D --> P[Production]
+```
+
+## Performance Considerations
+
+### Frontend Optimization
+- Component memoization
+- Virtual scrolling for large datasets
+- Efficient re-rendering
+- Asset optimization
+- Code splitting
+
+### Backend Optimization
+- Connection pooling
+- Query optimization
+- Caching strategy
+- Async operations
+- Resource limits
+
+### Database Optimization
+- Partitioning strategy
+- Index optimization
+- Query performance
+- Data retention
+- Backup strategy
+
+## Monitoring and Logging
+
+### System Metrics
+- API response times
+- WebSocket performance
+- Database query times
+- Cache hit rates
+- Error rates
+
+### Application Logs
+- Request/response logging
+- Error tracking
+- Performance metrics
+- Security events
+- System health
+
+## Scalability Considerations
+
+### Horizontal Scaling
+- Stateless backend
+- Load balancing
+- Session management
+- Cache distribution
+- Database replication
+
+### Vertical Scaling
+- Resource optimization
+- Memory management
+- Connection pooling
+- Query optimization
+- Batch processing
+
+## Future Architecture Considerations
+
+### Planned Enhancements
+- Kubernetes integration
+- Cloud provider metrics
+- ML-based predictions
+- Advanced analytics
+- Custom dashboards
+
+### Technical Debt Management
+- Code quality metrics
+- Performance monitoring
+- Security scanning
+- Dependency updates
+- Documentation updates
+
+## Development Workflow
+
+### Code Pipeline
+```mermaid
+graph LR
+    F[Feature Branch] --> T[Tests]
+    T --> R[Review]
+    R --> M[Main Branch]
+    M --> D[Deploy]
+```
+
+### Quality Assurance
+- Automated testing
+- Code review process
+- Performance testing
+- Security scanning
+- Documentation review
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