The Transistors recommendation system helps learners make choices without sufficient personal experience transistors datasheet. In our research, the user-based and the main recommendation algorithm combined with Datasheets for all selective transistors. We analyzed the concern of the recommendation system and also an architecture is proposed, based on which improvements can be achieved. In this architecture, there are seven modules are presented. The crucial aim of this research paper is to perceive the basis of a recommendation system that will assist students in culling the best transistors for their respective work.