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Problem Statement: AI Cloud Cost Optimizer + Deployment Analyzer Many developers and startups deploy applications on cloud platforms like Azure without fully understanding the cost implications of their architecture. Misconfigured resources, over-provisioned virtual machines, unused storage, and inefficient deployments often lead to unnecessary cloud expenses. Currently, developers lack an intelligent system that can automatically analyze deployments, predict costs, and suggest optimized configurations. The problem is to build an AI-powered system that analyzes cloud deployments, estimates costs, detects inefficient resource usage, and recommends optimized architectures to reduce cloud spending while maintaining performance and scalability.