EDUVERSE: THE AI-POWERED LEARNING ECOSYSTEM FOR ENGINEERS

The growing demand for efficient educational platforms has revealed challenges for engineering students inaccessing diverse learning resources. Current platforms often provide fragmented solutions, hinderingstudent’s academic and career progression. This study introduces an integrated platform designed toCentralize essential resources like lecture notes (with TTS functionality), video tutorials, programming tools,DSA materials, technology roadmaps, and aptitude preparation. Using Al-driven Personalized learning paths,and smart chatbots, the offers an adaptive and interactive learning environment. With Al-basedSummarization, mock test proctoring, and semantic search, the platform reduces resource search time by 70%and boosts academic efficiency by 90%. It also supports both regular and remote learners with features likecloud-based sync, offline access, and Personalized accounts. Prioritizing security with encryption, two-factorauthentication, and file validation, it ensures ethical learning practices. By unifying resources, offeringstructured roadmaps in emerging fields like AI, ML, and IoT, and promoting skill development, the platformenhances learning outcomes for engineering students.