Published Paper Details:

The rising competitiveness of campus placements has heralded the need to develop systematic and structured preparation mechanisms. Digital platforms have become largely educational but students face difficulties because they are not applied in sequence, and any tracking is not measurable. The classic method is to follow random tutorials of various sources, and the resulting knowledge is incomplete and disjointed in the preparation. Coaching institutes are structured, but not personalized and also they are not financially viable. In addition, the current systems lack an automated analysis and competition in an integrated ecosystem. Towards that end, Skill Path aims to remove such constraints by providing a learning architecture built on centralization and roadmap. The system is combined with curated high quality learning content, automated assessment validation of quizzes, real time dashboards and leaderboard ranking systems. The design focuses on the validation of mastery, where students have to know enough before advancing to the next stage. This method is scalable and technology-oriented at closing the knowledge gap between the academic and industry preparation.