Introducing an innovative solution for undergraduate engineering students, this paper presents a streamlined approach to project idea generation and management. By harnessing the power of Large Language Models (LLMs), the proposed system simplifies the often overwhelming process of ideation, allowing students to efficiently explore, evaluate, and organize project ideas based on their interests and expertise. With a focus on user-friendliness, the tool tailors project suggestions through minimal inputs—keywords, domain, and preferred technologies—ensuring relevance and creativity. Students can easily assess, refine, and store their top ideas in a personalized Idea Bucket, which can be exported as a PDF for further documentation. Evaluations from experienced professionals highlight the system’s outstanding usability, alignment with academic needs, and potential for innovation, positioning it as a valuable resource for guiding students in their project journey.