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AI-Powered Healthcare Intelligence
Our HealthTech domain applies machine learning to healthcare's most pressing challenges. From cancer risk prediction using ensemble learning to comprehensive health analytics with GPT-4 powered risk assessment — we build healthcare tools that save lives while respecting patient privacy.
XGBoost, LightGBM, Random Forest, and Neural Network ensembles with stacking meta-learners for maximum prediction accuracy.
Role-based portals (Patient, Hospital, Admin) with 69+ API endpoints, RBAC, and complete audit logging.
Vitals tracking, sleep analytics, disease records, lab test management, and AI-powered risk assessment scoring.
Geo-spatial blood donor matching with compatible type calculation, proximity search, and availability tracking.
Smartwatch vital integration for continuous health monitoring, anomaly detection, and trend analysis.
End-to-end encryption, role-based access control, audit logging, and data anonymization following healthcare compliance standards.
Build a reliable cancer risk prediction system that considers multiple risk factors, supports three user roles, and includes geo-spatial blood donor matching.
Implemented a two-level stacking ensemble: Level 1 with XGBoost, LightGBM, Random Forest, and Neural Networks making independent predictions; Level 2 with Logistic Regression meta-learner combining results. FastAPI backend serves 69 endpoints across three role-based portals.
AI-Powered Cancer Risk Prediction
A HIPAA-aligned healthcare AI platform using an ensemble of XGBoost, LightGBM, Random Forest, and Neural Networks for cancer risk prediction. 69 API endpoints serve 3 role-based portals (Patient, Hospital, Admin) with blood donor geo-matching and smartwatch vital integration.
AI Health Analysis Platform
Comprehensive health platform with vitals tracking, sleep analytics, disease records, lab test management, and GPT-4 powered risk assessment. Generates personalized health scores and preventive care recommendations.