XueZhi AI · School Space Design Platform
Develop school-space and culture-wall proposals with editable concepts, visual alternatives and saved selections for discussion.
Prepare questions from a target role and personal experience, then practise with spoken questions, typed or dictated answers, follow-ups and detailed feedback on what to work on next.
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For jobseekers, employment advisers and pre-employment training teams, this project divides interview preparation into background review, question confirmation, answers and report review. Users can enter or adjust the role description, responsibilities and requirements alongside personal experience, skills and training, then prepare questions at a chosen difficulty. Practice is grounded in the target role and the person's experience rather than a context-free question list.
This supports adviser-led preparation: align the questions with the role, then let the jobseeker organise answers independently.
The completed report includes an overall comment, strengths, areas to improve and suggestions for the next practice session. Question-level review retains the original question, scoring reasons and improvement advice. A radar chart supports discussion of relevance, examples, responsiveness to the question, clarity and attitude. Jobseekers can identify experiences or wording to reorganise, while advisers can tie feedback to particular answers instead of discussing only a score.
At entry points that support record recovery, interrupted practice can continue within the permitted limits using saved answers and current progress. The project remains positioned as a proof of concept for simulated practice. Reports support self-review and coaching discussions; scores are not hiring decisions, candidate-screening conclusions or certification of professional ability.
I independently owned the interview practice product from workflow planning and experience design through architecture, frontend and backend implementation, deployment and iteration. I orchestrated role context, adaptive follow-up questions and per-question reports, adding session recovery, duplicate submission protection and recovery tasks for failed report generation.
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