1. Intake truth
We start with transcripts, grading context, target intake, English status, budget and career intent. The model is only useful when the input picture is honest.
Approach
Structured AI, reviewed by admissions judgment.
The workflow is built to make recommendations explainable, auditable and useful in a real counselling conversation.
2. Course-level search
We compare course outcomes, prerequisite language, campus constraints and historical offer friction instead of relying on university reputation alone.
3. Offer portfolio
Each shortlist is split into ambition, balanced and protection bands with a reason for every inclusion and every exclusion.
4. Submission control
The final plan becomes a document checklist, sequencing memo and escalation list for borderline cases.
No black-box admissions promises.
Outputs are decision support, not guaranteed outcomes. The final recommendation depends on current university rules, document evidence and adviser review.