Preserving Cultural Heritage: Enhancing the Documentation and Promotion of Indian Handicrafts Through Machine Learning

In the digital age, the preservation and promotion of local craftsmanship play a pivotal role in sustaining cultural traditions. While India has been home to a myriad of artisanal talents, many artisans find it challenging to connect with a global audience. This paper introduces “HandiIndia,” an innovative web platform designed specifically for Indian artisans. Leveraging cutting-edge technologies, particularly the BERT (Bidirectional Encoder Representations from Transformers) model in machine learning, HandiIndia aims to bridge the gap between local artisans and global consumers. By employing BERT, an advanced natural language processing model, the platform enhances the understanding of user preferences and interactions. HandiIndia enables artisans to showcase their work, share their stories, and connect directly with customers, fostering a community that values authenticity and tradition. Through the application of BERT, the platform can analyze user engagement metrics and feedback more effectively, providing valuable insights into user preferences and trends. This research assesses the potential impact and scalability of HandiIndia in reviving and promoting India’s artisanal heritage in the global market, with a specific focus on the role played by the BERT model in enhancing user experience and platform performance.