# System Architecture

#### System Architecture

DecentraScan comprises several key components:

1. **AI Engine**: Utilizes machine learning and natural language processing to analyze smart contracts.
2. **Blockchain Integration Module**: Interfaces with the Ethereum blockchain to fetch and monitor contracts.
3. **User Interface**: Provides an intuitive dashboard for users to interact with the system.
4. **Reporting and Notification System**: Generates detailed audit reports and alerts users of critical issues.

**AI Engine**

The AI Engine is the core of DecentraScan, incorporating various models and algorithms:

* **Static Analysis Module**: Scans the contract code for common vulnerabilities such as reentrancy, overflow/underflow, and unauthorized access.
* **Dynamic Analysis Module**: Simulates contract execution to detect runtime issues.
* **Natural Language Processing (NLP) Module**: Analyzes the contract documentation to ensure consistency and correctness with the code.

**Blockchain Integration Module**

This module ensures seamless interaction with the Ethereum blockchain:

* **Contract Fetching**: Retrieves smart contracts from the blockchain based on user input or automatic scanning.
* **Event Monitoring**: Tracks contract interactions and state changes in real-time.

**User Interface**

The user interface is designed for ease of use and functionality:

* **Dashboard**: Displays contract analysis results, audit history, and vulnerability status.
* **Code Editor**: Allows developers to input and edit contract code directly within the platform.
* **Report Viewer**: Provides access to detailed audit reports and suggested fixes.

**Reporting and Notification System**

Generates and disseminates audit reports:

* **Audit Reports**: Detailed documentation of identified vulnerabilities, potential risks, and recommended remediation.
* **Notifications**: Alerts users via email or SMS about critical vulnerabilities or changes in contract status.