A highly debateabletopicin architectural fraternity is the 'sustainable architecture' which has been addressed in many publications. Literature terminology applies to different types of such architecture: 1970s eco-design, 1980s green design, late 1980s and 1990s ecological design. This demonstrates the emergence of a construction-oriented architecture that prioritizes the natural environment until the mid-1990s. Sustainable architecture, on the other hand, as with all previous architecture approaches, can not only be considered a moral and architectural practice, but its contribution to social, cultural and economic infrastructure in the region. [1] UNESCO has coined "real life sustainability" to expand the overall concept of sustainable architecture from design to architecture incorporating local identity as part of the design process. [1] UNESCO coined the concept 'absolute sustainable life.'[2] Frampton aims to tackle local and contemporary global architectural culture at the same time as the notion of 'critical regionalism.' In his narrated essay, he stresses on value of sustainability in architecture as a cultural framework, not just a technique or process. [3] Culture defines a diverse concept that incorporates all intellectual activity of society. [4]Culture is; dynamic, exchanged, transformed into a new generation, expressed within the group and the person, interpreted in each community member. This includes laws, beliefs, principles, convictions and expectations. It transmits longevity and can improve the community's vitality. These are the assertion of "culture" in Matsumato's book "Psychology and Community."[5][6] The paper discusses about the sustainable cultural with architectural aspects. Part 1 discusses about eco-cultural architecture from various aspects of sustainable architecture. Next part 2 analyses world-class construction practices as eco-cultural reasoning practices, and part 3 discusses a case study of Turkey's sustainable solutions to local issues.

India’s fossil-fuel-based energy dependency is up to 68%, with the commercial and residential sectors contributing to the rise of building energy demand, energy use, and greenhouse gas emissions. Several studies have shown that the increasing building energy demand is associated with increased space-cooling ownership and building footprint. The energy demand is predicted to grow further with the conditions of global warming and the phenomenon of urban heat islands. Building designers have been using state-of-the-art transient simulation tools to evaluate energy-efficient envelopes with present-day weather files that are generated with historical weather datasets for any specific location. Designing buildings with historical climatic conditions makes the buildings vulnerable to the predicted climate change impacts. In this paper, a weather file generator was developed to generate Indian future weather files using a geo-filtering-based spatial technique, as well as the temporal downscaling and machine learning (ML)-based bias correction approach proposed by Belcher et al. The future weather files of the three representative concentration pathways of 2.6, 4.5, and 8.5 could be generated for the years 2030, 2050, 2070, 2090, and 2100. Currently, the outputs of the second-generation Canadian Earth System Model are being used to create future weather files that will aid architects, urban designers, and planners in developing a built environment that is resilient to climate change. The novelty lies in using observed historical data from present-day weather files on the typical meteorological year for testing and training ML models. The typical meteorological weather files are composed of the concatenation of the monthly weather datasets from different years, which are referred to for testing and training ML models for bias correction.

This research delves into the often-overlooked issue of women's and children's safety at World Heritage Sites in India and Nepal. While these sites hold immense cultural, historical, and environmental significance, safety concerns persist. Through a comparative analysis, the study explores the challenges and successes of Indian and Nepalese safety strategies, with a particular focus on the potential of Artificial Intelligence (AI) for enhancing security. The research identifies women and children as particularly vulnerable due to crowded areas and inadequate security measures. Proactive solutions are crucial. It critically examines India's security protocols, highlighting the uneven effectiveness of measures like CCTV and guards. Challenges such as poor lighting and accessibility issues reinforce the need for standardized safety procedures. The study then examines Nepal's approach, including improvements in patrols, security cameras, and community participation. The contrasting safety approaches in India and Nepal offer valuable insights for collaborative improvements, particularly in the integration of AI technologies. Following an exploration of cultural influences on safety perceptions, the role of education, and legal frameworks, the research presents case studies of successful safety programs in both countries, highlighting how AI has been leveraged. Drawing from these successful projects, the study proposes legislative recommendations to enhance safety for women and children, while advocating for the responsible implementation of AI. Ultimately, the research emphasizes the importance of collaboration among stakeholders – government agencies, NGOs, local communities, and tourism authorities – to create lasting safety solutions. Prioritizing safety and exploring the responsible use of AI is essential to ensure these cultural treasures remain inclusive and respectful for all visitors while preserving heritage for future generations