Inspiren Augi Training
Developed a conceptual AI-powered Augmented Intelligence (AUGI) healthcare device designed to assist medical professionals in real-time patient monitoring and decision support. The system integrates vital parameter analysis such as heart rate, temperature, and oxygen levels, and uses machine learning-based inference logic to detect abnormal patterns. The model processes structured patient data and generates risk alerts with explanation-based outputs to support clinical decision-making rather than replace human judgment. Conducted model response evaluation, edge-case testing, and accuracy benchmarking to ensure reliable performance under varied medical scenarios. Implemented structured data validation and continuous feedback loops to improve prediction stability and reduce false alerts.