Caribbean Pirate
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About us
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In this project, I developed a robust face swap application using Python, built from the ground up with a microservices architecture. The system is designed to efficiently handle requests via RabbitMQ for queue management. I implemented Docker containers and app services on Azure DevOps to ensure seamless integration and deployment across all components. The project includes a RESTful API (FLASK) endpoint, which I thoroughly tested under high load conditions using Apache JMeter to ensure performance and reliability. All processed files are securely stored in Azure Blob Storage, providing scalable and reliable data management. This project highlights my ability to create end-to-end solutions, leveraging cloud technologies, containerization, and stress testing tools to deliver a high-quality, scalable application.
This summary captures the key technical achievements and highlights mine skills in cloud technologies, microservices, and performance testing.
Above, you'll find a selection of videos and images that showcase the face swap project in action. These examples highlight the system's capabilities, from seamless face-swapping in real-time to the robust infrastructure behind the scenes. Each demonstration provides a glimpse into the performance, reliability, and precision of the application, illustrating how the various components—from microservices to cloud storage—work together to deliver impressive results.
