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Salamat AI Backend Development Methods by civega6401 is a document available to read on EtoBox.
Chapter Three outlines the methodologies used to develop the Salamat AI Backend, a medical diagnosis support platform leveraging AI. It details the iterative development approach, research design, testing strategies, and the technology stack employed, including Python, Django, PostgreSQL, and Redis. The chapter emphasizes the importance of reliability, security, and performance throughout the development process, along with extensive monitoring and analysis to ensure system effectiveness.
- Author
- civega6401
- Language
- EN