{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d876f41df762415e9bb7413d7119b2ba\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d876f41df762415e9bb7413d7119b2ba-00001.gif","duration":323.7,"title":"Group 179 Klusterthon Demo- Building a Conversational E-commerce Database","description":"In this video, Group 179 of Klusterthon introduces themselves and discusses their project on building a conversational e-commerce database. They highlight the requirements they aim to fulfill, such as a natural language to SQL agent, a user-friendly chat interface, and a demo e-commerce database with tutorials. The group explains their solution of transforming natural language into queries and providing user-friendly feedback. They also showcase their landing page, authentication process, onboarding, and the ability to query and explore the demo database. The video concludes with a mention of connecting to PostgreSQL and MongoDB for database management."}