TopAceEssays

1. Plan out the architecture and design of your application.
2. Justify your design choices, including pricing estimates, deployment strategies, and incorporation of third-party AI cloud services.
3. Produce a professionally edited document with appropriate diagrams and information.
4. API Design and Architecture:
   • Develop a detailed API design and architecture, focusing on scalability, security, and integration with external AI services.
   • Justify your design decisions and present them in a web-accessible format, such as a PDF document.
5. API Implementation:
   • Develop the backend API using the FastAPI library in Python.
   • Implement features such as account management, database integration, authentication, credit system, queueing system, notification system, and integration with external AI services.
   • Practice professional development processes, including source code control, CI/CD, and testing.
6. Client Website and Application:
   • Develop a client-side application to interact with the API.
   • Showcase the functionality of the API in the client application.
   • Provide documentation for the API usage within the client application.
7. Performance and Testing Strategy Report:
   • Document your performance and testing strategy.
   • Provide evidence of testing, including unit tests, functional tests, and any automation plans.
   • Reflect on your development process and discuss any challenges or improvements.
8. Video Demonstration:
   • Record a video demonstration showcasing your client application and API functionality.
   • Highlight security measures, credit usage, integration with external APIs, and any other relevant professional practices.
   • Ensure professional presentation and adherence to the specified format.

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