Project story
Engineered a hybrid ML model (XGBoost + K-Means) analyzing 100+ user traits to generate career reports. Reduced report generation time by 40% using ReportLab + GCP, scaling to 50+ monthly users with <200ms latency.
Psychometric AI/ML test that suggests ideal careers and reduces mismatch-driven burnout. 90% top-3 suggestion relevance.
Project demo embedded directly from YouTube.
Engineered a hybrid ML model (XGBoost + K-Means) analyzing 100+ user traits to generate career reports. Reduced report generation time by 40% using ReportLab + GCP, scaling to 50+ monthly users with <200ms latency.