The number of different specialized conferences has increased, and as such, the appropriate conference-related information with respect to interests for researchers, students, and professionals is hard to find. However, digital databases provide an effective solution by way of a unified platform on which to collect comprehensive information on various conferences. Such a digital database of all Arab conferences would be an important resource for researchers, students, and all those concerned about being updated on the latest developments in many scientific fields. The Arab conference databases provide detailed data and information relating to conferences, such as the title of the conference, date, location, organization, website link, speakers list, program, and working papers. In addition, and in the continuously growing landscape of scientific research, conferences have become increasingly demanding to navigate. Correspondingly, searching for conferences relevant to specific research agendas can be time-consuming and inefficient. This paper proposes how Large Language Models (LLMs) can revolutionize conference discovery and recommendation for researchers. LLMs excel at Natural Language Processing (NLP) tasks, and we propose leveraging their capabilities to create a personalized conference recommendation system. This system would extract key themes and topics from a researcher publication history and research interests. Armed with this information, the LLM would search for and recommend conferences dealing with those specific areas. Other helpful services provided in the database may help in one’s search for everything related to subsequent Arab conferences. It also provides information from previous conferences, including papers presented and video recordings of meetings. Further, it is supporting different languages, especially Arabic and English, to spread the scope of access and benefit. Additionally, it creates forums and groups for easing communication between scholars and researchers attending the same conferences, among many other highly regarded services.