Konze AI Tutor

Rubric-based grading of open-ended answers

• Spoken responses are transcribed, then graded as text against exam rubrics rather than scored on audio features.
• Eighteen rubric prompts live in the database rather than in application code, so examiners can revise criteria without a deploy.
• Grading runs as a structured pipeline, producing component judgements rather than a single opaque verdict.
• Final scores are recomputed in Python from those components, so the number a learner sees never depends on model arithmetic.

That last decision is the one that makes the feature shippable. A language model is good at judging whether a response met a criterion and unreliable at totalling the result. Separating the judgement from the arithmetic means a grading error is a rubric problem you can inspect and fix, not a silent miscalculation in a learner's band score.

Live conversational voice practice

• Three dedicated agents, each with its own job and its own conversational shape, and four selectable voice personas so learners can pick a voice they will actually practise with.

Splitting these into separate agents rather than one general tutor keeps each one's behaviour predictable. A mock test that drifts into encouragement stops being a mock test.

Curriculum, diagnostics and progress

• Four 7-day curricula covering IELTS General and Academic, and PTE Academic and Core, delivered as day-by-day lessons with slides, FAQs and exercises.
• Sixty-five generated lesson scripts underpin that delivery.
• Multi-section diagnostic testing places a learner before the curriculum starts.
• Onboarding covers exam selection and personalisation, feeding a dashboard that tracks progress against the chosen track.
• AI practice spans all four skills - speaking, reading, writing and listening - each with automated evaluation.

Platform, retrieval and access

• React and TypeScript front end, Django back end, taken from empty repository to production release cadence.
• Account access built on JWT access and refresh tokens, OTP verification and Google OAuth, with protected-route access control throughout.
• Subscription and payment handling: checkout, order tracking, payment history and add-ons.
• A vector-search retrieval layer over exam content is built into the platform, ready to activate.
• Error monitoring and global error handling, with QA and production deploy pipelines kept separate.