International Journal for Multidisciplinary Research (IJFMR) E-ISSN: 2582-2160 ● Website: www.ijfmr.com ● Email: editor@ijfmr.com IJFMR250345512 Volume 7, Issue 3, May-June 2025 1 Validating Artificial Intelligence for Restoring Bygone Urban Landmarks: The Strategy to Restore Darpil Shah 1 , Dhaval Raval 2 1,2 Assistant Professor, School of Architecture, Anant National University, India Abstract: Artificial intelligence (AI) is becoming a new tool in the world of architecture and construction, and AI is a powerful tool that has the potential to shape our future in many ways. This research paper looks at the methods for recovering and establishes a systematic technique to analyze aging buildings utilizing artificial intelligence solutions from construction, sustainability, and other industries. A good example is the Sardar Vallabhbhai Patel stadium located in Ahmedabad, India, which was commissioned in 1960 and has held both domestic and international cricket events. At present, the stadium is in the heart of the city and serves as a jogging track, an open gymnasium, a concert venue, and a cricket stadium. The stadium also has architectural value because it is a landmark of the city, which led to its inclusion in the 2020 World Monuments Watch, a collection of cultural heritage sites at risk that have both architectural and contemporary social relevance. The stadium is being renovated and restored because its structural life is deteriorating, and the cost of the renovation is unknown. There is the option of demolishing the stadium and constructing a new space. But the demolition of the stadium will generate a large amount of construction waste as well as carbon emissions. However, AI will create the pre-assessed data for the building regarding structural strength and material properties, which will aid in the discovery of a sustainable solution that will benefit both architectural values and environmental conditions. The method will assist the designers in designing a building that includes the parameters of the building's future assessment. Key words: Artificial Intelligence, stadium, architectural landmark, adaptive reuse 1. Introduction In recent years, artificial intelligence (AI) has made a lot of progress in a wide range of fields that have been expanding its scope. Artificial intelligence is rapidly emerging as a transformative force across diverse sectors, including architecture and construction, presenting unprecedented opportunities to reshape our built environment in sustainable and innovative ways. The integration of AI technologies holds immense potential for enhancing efficiency, accuracy, and safety across a spectrum of applications, encompassing architectural design, structural analysis, project management, construction processes, geotechnical engineering, transportation planning, and infrastructure maintenance. In the realm of maintenance and infrastructure upkeep, AI has proven useful for tasks such as bridge inspections, pipeline integrity assessments, and early detection of structural defects. For example, Li et al. proposed a cognitive- based bridge analysis utilizing computer vision to examine images and identify potential issues. AI