AI-Based Dengue Prediction
Developed an AI-based clinical decision support tool for dengue prediction using routine hematological parameters, achieving ~93% accuracy (ROC-AUC ~0.91), with deployment via a Streamlit interface for real-time risk assessment.
Project snapshot
Practical delivery with clean architecture, measurable outcomes, and maintainable systems.
Categories
AI/ML
AI-Based Dengue Prediction — delivered for real usage
We built this project with disciplined engineering: clear scope, rapid iteration, and production readiness (security, testing, monitoring, and maintainability).
- Clear scope, milestones, and delivery plan.
- Production readiness: security, testing, and observability.
- Scalable structure for future features and growth.
Developed an AI-based clinical decision support tool for dengue prediction using routine hematological parameters, achieving ~93% accuracy (ROC-AUC ~0.91), with deployment via a Streamlit interface for real-time risk assessment.