Claude Builder Club Northumbria
Dekitaa
Participants
Daniel Que, Jaewan Ju & Brandon Wylde
Theme
AI for Personalised Education
Live Demo
Coming Soon
Repository
Coming Soon
Presentation
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CV.AI is an AI platform by Team Dekitaa that turns students' academic work into professional, real-time updating CVs. It extracts skills from coursework, matches them to job requirements with compatibility scores, and generates tailored CVs and cover letters cutting out manual rewriting and saving significant application time.
Solution
CV.AI operates through four integrated features that bridge the gap between academic achievement and professional employment. Live Skill Updates allow students to upload coursework, certificates, or slides, with AI instantly identifying new skills and updating the CV in real-time while maintaining memory of previous versions. University Resource Integration analyzes lecture slides for technical and soft skills, converts coursework projects into employable achievements, and enhances profiles with certificates and presentations without manual rewriting. AI-Powered Job Matching saves and analyzes job descriptions, matches CVs against requirements, provides compatibility scores to highlight best-fit roles, and offers smart recommendations. CV and Application Generation creates tailored CVs for each job, automatically generates cover letters, provides editable output for final polish, and enables one-click PDF downloads.
Challenges
CV.AI addresses the critical disconnect between academic credentials and employer expectations. Students gain valuable skills at university but struggle to translate them into employer language, often listing modules on CVs instead of real competencies. Recruiters seek skills and evidence rather than course titles, creating a communication gap that disadvantages students. Additionally, students waste significant time manually tailoring CVs for every role they apply to, a tedious and inefficient process that reduces their job search effectiveness. The platform specifically targets students who need to convert their academic work into industry-ready professional profiles that boost employability and interview success.
Results
CV.AI utilizes AI-powered natural language processing to extract skills and competencies from various document types including lecture slides, coursework submissions, certificates, and project files. The platform employs machine learning algorithms for job matching that analyze saved job descriptions and calculate compatibility scores between student profiles and role requirements. A real-time CV generation system maintains living documents that update automatically as new skills are identified, with memory retention of previous CV versions. The application generation engine creates tailored CVs and cover letters customized to specific job requirements, with editable templates and PDF export functionality for professional delivery.
