Designed an AI-powered Career Recommendation Engine as part of Career Discovery, an independent education technology project. The system is designed to transform student assessment responses into structured career insights and personalised recommendations.

The workflow covers digital assessment, response processing, AI-based analysis, identification of interests and strengths, career-cluster matching, personalised report generation, and actionable next steps. It connects the assessment process with structured outputs, helping make career exploration more consistent and scalable.

The goal is to reduce repetitive manual analysis while giving students a clearer understanding of potential career directions, relevant subjects, skills to develop, and possible next steps.

Key capabilities: AI-assisted assessment analysis, career recommendations, personalised reporting, workflow automation, and structured student guidance.

Project type: Independent AI product and automation project.