Artificial Intelligence (AI) is transforming the field of architecture by enhancing design processes, improving efficiency, and enabling data-driven decision-making. This project explores the integration of AI technologies in architectural practices, focusing on their applications in design generation, building performance analysis, and construction management. AI-powered tools can analyze large datasets, optimize spatial planning, and generate innovative design solutions that respond to environmental, social, and functional requirements. The study highlights how machine learning algorithms and generative design techniques assist architects in creating sustainable and energy-efficient structures. Additionally, AI enables predictive analysis for structural safety, cost estimation, and maintenance planning, reducing risks and improving project outcomes. The project also examines real-world case studies where AI has been successfully implemented in architectural projects. Despite its advantages, the adoption of AI in architecture presents challenges such as ethical concerns, data dependency, and the need for skilled professionals. This research aims to provide a comprehensive understanding of AI's potential and limitations, emphasizing its role as a collaborative tool rather than a replacement for human creativity. Overall, the integration of AI in architecture represents a significant shift towards smarter, more adaptive, and sustainable built environments.