This project develops CloudEnergy Optimizer, a comprehensive web-based platform for simulating and optimizing energy consumption in cloud computing environments using intelligent algorithms. Built using the Django stack (Python, Django, SQLite3, HTML, CSS, JavaScript, Tailwind CSS), CloudEnergy Optimizer offers a responsive design that ensures accessibility across desktops, tablets, and smartphones. The platform features include multi-role user management (Admin, Engineer, Viewer), dynamic simulation workflows with ACO/PSO/DVFS algorithms, real-time energy monitoring, cost savings visualization, and comprehensive analytics dashboards. With secure authentication, role-based access control, and automated optimization recommendations, CloudEnergy Optimizer promotes sustainable computing practices, energy efficiency, and intelligent resource management in modern cloud infrastructure.

Keywords: Cloud Computing, Energy Optimization, Containerization, ACO/PSO/DVFS Algorithms, Role-based Access, Sustainability Metrics, Real-time Monitoring.