README.md

SWOT Analysis Tool

Overview

The SWOT Analysis Tool is a robust framework for conducting comprehensive Strengths, Weaknesses, Opportunities, and Threats analysis, enhanced with cutting-edge technologies. This project integrates advanced data processing, real-time analytics, and AI-driven insights for strategic decision-making.

Key Features

• Event-Driven Architecture: Powered by Kafka and RabbitMQ for reliable and scalable event streaming.
• AI Engine: Includes OpenCV, ONNX, and NVIDIA Triton for advanced data analysis and image processing.
• Secure Communication: Utilizes gRPC with Protobuf for low-latency communication and Quiche/HTTP3 for secure data transport.
• Databases:
  • Time-Series: InfluxDB.
  • Transactional: Cloudflare D1/PostgreSQL.
  • Immutable Storage: immudb with IPFS for archival.
• Zero Trust Security: Enforced via Cloudflare Zero Trust.
• Quantum-Safe Encryption: Combines QKD and PQC for future-proof encryption.
• Performance Optimization: Cloudflare Workers for edge compute and Redis caching for fast data access.
• Decentralized Storage: IPFS Cluster for distributed archival.

System Architecture

Getting Started

Prerequisites

• Docker
• Python 3.8+
• Node.js (Optional for frontend development)
• IPFS Daemon (for decentralized storage)

Installation

1. Clone the repository:

   git clone https://github.com/rfc391/Swot-Analysis-Tool.git
   cd Swot-Analysis-Tool

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   python main.py

Docker Setup

1. Build and run the Docker container:

   docker build -t swot-analysis-tool .
   docker run -p 8080:8080 swot-analysis-tool

Documentation

• User Guide
• Developer Documentation
• Testing Guide

Contribution

We welcome contributions! Please read the CONTRIBUTING.md file for guidelines.

License

This project is licensed under the MIT License.

Support

For questions or support, open an issue or contact the maintainer.

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Designed for strategic excellence with a future-proof tech stack.