When most students enter computer science, they don't actually know where they're going. Some think they want to become AI engineers because social media told them AI is the future. Others jump into web development because they heard it pays well. Some start learning Python, quit after a week, then move to cybersecurity, then app development, then machine learning — endlessly switching paths without direction. We realized this problem early in our first year of engineering. The issue wasn't lack of motivation. The issue was lack of structure. The Problem With Learning Computer Science Today Most platforms teach skills in isolation. You learn syntax. Then random projects. Then tutorials. Then another course. Then maybe some DSA. But beginners rarely understand: what roadmap to follow what skills actually matter what level they are currently at how concepts connect together what to build for a portfolio what companies actually expect The result is overwhelming confusion.…