Artificial Intelligence Based on Recommendation System for Startup Matchmaking Platform

Artificial intelligence platform-based software is currently required and recommended for education and have innovation used to develop, implement, and evaluate the process of an activity. An artificial intelligence-based Startup Matchmaking platform with a recommendation feature in the system can make it easier to bring together startups and partners as needed through a matchmaking process. In general, Startups that are being built must look for partners one by one to work, which will take a long time. To solve this problem, we need to replace the manual method to get answers to all kinds of theory questions and common questions related to startups. The main goal of this research is to create an intelligent platform that can help the industry find information through matchmaking startups. To develop this study, we use the Study Literature Review (SLR) method based on the needs where startups that are growing fast. In this research, the system is implemented entirely with integration with Communicate. Novelty in this study is the use of Artificial Intelligence in Matchmaking startups.