What is problem-solving-roadmap?

problem-solving-roadmap is a guide for people who want to get better at solving programming puzzles and algorithm challenges. Think of it as a curated syllabus pointing you toward the specific topics and practice problems that matter most if you're preparing for technical interviews or competitive programming contests. The idea is straightforward: learning data structures and algorithms can feel overwhelming because there are so many topics to cover. This project tries to map out a sensible path through that material. Rather than diving into theory all at once, you follow a step-by-step progression that builds from fundamentals up to more advanced concepts. The roadmap itself appears to have been created with 2022 in mind, so it reflects a relatively modern snapshot of what topics were considered important. The target audience is likely students, self-taught programmers, or early-career developers who want a structured study plan rather than randomly working through problems on sites like LeetCode or HackerRank. If you've ever felt like you don't know what to study next or whether you've covered the right material, this kind of roadmap gives you a checklist to work through. That said, the README is very sparse. It doesn't go into detail about what specific data structures or algorithms are covered, how the roadmap is organized, or whether it links to external resources like tutorials or problem sets. You'd need to explore the repository itself to see whether it contains a detailed document, links, or some other format. It's a lightweight project with a small following, so it may be best viewed as one person's recommended study path rather than a comprehensive curriculum.