Uporaba umetne inteligence za rekonstrukcijo in restavriranje staroindijskih oblačil in modnih dodatkov

The restoration and recreation of ancient Indian costumes and accessories are critical for preserving the nation’s rich cultural and historical heritage. This review explores the transformative role of artificial intelligence (AI) in studying and interpreting primary data sources to revive traditional attire and accessories from ancient India. Primary data sources, such as textual manuscripts, sculptures, iconography and archaeological findings, offer invaluable insights into ancient fashion. Yet, their interpretation is often complex, time-consuming and prone to human error. AI, with its advanced computational capabilities, has emerged as a promising tool to analyse and reconstruct these historical artifacts with remarkable accuracy and efficiency. This paper discusses the various applications of AI, including machine learning, computer vision and natural language processing, in decoding the intricate patterns, designs and cultural elements embedded in historical data to achieve accurate results. For instance, AI-powered image recognition tools and computer vision algorithms can analyse sculptural depictions to extract information about garment textures, draping styles and accessories. Natural language processing algorithms can decode ancient textual data, such as ancient scriptures and inscriptions, to understand and extract references to fabrics, dyeing and weaving techniques, ornamentation methods and the symbolic meanings of costumes. Even archaeological findings and reports, including remnants of textiles and ornaments, can be studied using AI for material composition analysis and virtual reconstruction. These technologies not only enable the recreation of visual representations of ancient attire but also provide insights into the socio-cultural and historical contexts of the time. This paper also highlights the challenges associated with integrating AI into this area, such as the limited availability of digitized primary data, the need for culturally sensitive algorithms and technological constraints in interpreting incomplete or degraded data. Despite these challenges, interdisciplinary approaches involving AI, history, design and archaeology hold immense potential to revolutionize the restoration of ancient Indian costumes. Despite these barriers, this study highlights the transformative potential of interdisciplinary collaboration among AI specialists, designers, historians, and archaeologists, and how technological innovation can support the accurate recreation of ancient Indian costumes and contribute meaningfully to the conservation and dissemination of India’s cultural heritage. The findings suggest that AI-driven methodologies can not only aid in the accurate recreation of ancient attire but also ensure the sustainable conservation of India’s cultural legacy for future generations.