Constructing a high-dimensional vector space from global offer data. Utilizing RAG technology to match your profile against hidden admission patterns.

Moving beyond linear regression. We deploy XGBoost & Neural Networks to calculate non-linear correlations between GPA inflation, language scores, and offer probability, achieving a 94.7% confidence interval.

Simulating the 'Reject-First' screening logic used by Top 50 admission offices. Stress-testing your application materials to expose structural weaknesses.

Real-time tracking of applicant density in your target major. We use Poisson Distribution models to predict the 'crash rate' of popular programs this year.

Decoding the 'List Bias'. Our NLP algorithms analyze historical rejections to identify schools that implicitly discriminate against specific undergrad backgrounds.

Financial modeling for your degree. We project 5-year salary curves and break-even points based on local employment data, treating your study abroad as an investment.