GlucoSolo2 – A streamlined version of GlucoSense focused purely on real-time, camera-based glucose estimation without calibration or image-upload options. It retains the core live feed analysis and simplified UI for rapid, mobile-only measurements.
GlucoSolo3 – The successor to GlucoSolo2, fully re-engineered to include additional vitals such as heart rate, HRV, respiratory rate, perfusion index, and systolic/diastolic blood pressure—while preserving the minimal interface and reliable rear-camera operation.
NeuroScreen360 – A cognitive screening and neuro-assessment platform that uses camera-based vitals, psychometric tasks, and behavioural metrics to evaluate mental focus, stress, and cognitive balance. It serves as the front-end diagnostic layer for the broader Neuro360 ecosystem.
NeuroFix360 – The companion rehabilitation and neuro-training module to NeuroScreen360. It provides guided cognitive and neuro-motor exercises, daily and weekly reviews, and adaptive progress tracking to strengthen neuroplasticity and mental resilience.
Hormone Mapper – An advanced camera-based bio-signal analyzer estimating key hormonal indicators (e.g., cortisol, melatonin, estrogen, testosterone, ghrelin) inferred from real vitals such as HRV, SpO₂, and blood flow patterns, aiming to visualise and balance endocrine trends.
HealthLogger-Personal – A user-centric health diary that aggregates data from Miznee’s vitals-measuring apps (like GlucoSense and Hormone Mapper) into a personal timeline, enabling users to view, track, and reflect on their long-term health metrics and behavioural trends.
Health Metric Dashboard – A unified vitals display framework showing continuous real-time health indicators (heart rate, HRV, SpO₂, RR, BP, hydration, perfusion, glucose, etc.) derived directly from camera signals. It provides waveform graphs, signal quality indicators, and advanced analytics in an instrument-style UI.
GlucoSense – Miznee’s flagship non-invasive glucose-monitoring system that uses a smartphone’s camera and real-time imaging algorithms to estimate blood glucose levels by analysing vascular colour, contrast, and brightness variations. It features live camera feed, calibration learning, PWA offline mode, historical charting, and full local data privacy.