Claude Builder Club Northumbria
Clarifi
Participants
Blessing Ekiugbo & Iyanoluwa Opadotun
Theme
AI for Personalised Education
Live Demo
Coming Soon
Repository
Coming Soon
Presentation
View Slides
CLARIFI is an AI-powered learning companion for Northumbria CIS students that uses an 8-layer personalization engine to turn lecture materials into tailored learning experiences. It tackles content overload, diverse learning styles, language barriers, and academic isolation through adaptive content, smart peer matching, and support across 18 languages and 8 English accents.
Solution
CLARIFI operates as a complete learning ecosystem with five core features. Students upload lecture materials, and the AI automatically extracts 4-5 key concepts for personalized delivery. Interactive Concept Cards provide visual guides, audio scripts, and practical examples tailored to individual learning styles (visual, auditory, or reading). CLARIFI COACH serves as an AI-powered tutor offering instant support contextualized within lecture materials. Adaptive Quizzes adjust difficulty based on student progress and mastery. Study Match connects students with peers who have complementary skills for collaborative learning. The platform's 8-layer personalization engine customizes content based on education level, year, program, modules, learning style, confidence, language, and accent preferences.
Challenges
CLARIFI tackles four major student challenges. Content overload from dense lectures and extensive readings lacks personalization, making self-paced absorption difficult. One-size-fits-all teaching methods fail to accommodate diverse learning styles, creating inconsistent experiences. International students struggle with complex technical content in non-native languages, causing stress and comprehension gaps. Academic isolation leaves students unaware of who can help them or who needs their assistance, resulting in missed collaborative opportunities. The platform specifically targets Northumbria's 5,000+ CS students, with 40% being international students who particularly benefit from the extensive language support.
Results
CLARIFI is built using Claude AI for content analysis, concept extraction, and personalization. The 8-layer personalization engine aggregates student profiles across primary attributes (education level, year, program), secondary attributes (modules, learning style, confidence, language, accent), and core personalization data to drive content adaptation. The platform includes an AI tutor system, adaptive quiz algorithms that adjust difficulty dynamically, and intelligent peer matching algorithms for collaborative learning. Language processing supports 18 languages with flexible translation modes and 8 English accent options for audio delivery. The system also features skills mapping technology that translates learned concepts into transferable skills for CVs and professional portfolios.
