क
RAKSHAK-KAPHA
INCIDENT COMMANDER CONSOLE · SIH 2026 · FUNCTIONAL DIGITAL PROTOTYPE
Stream
00:00
Frames
0
Avg infer
0.0 µs
Phase
BASELINE
vs ground truth
MATCH
mSTaRT ON-DEVICE CLASSIFICATION
GREEN · MINOR / AMBULATORY
Monitor — no immediate intervention required
Votes
7/0/0
Confidence
100%
Inference
2.0 µs
tree_0 → Gtree_1 → Gtree_2 → Gtree_3 → Gtree_4 → Gtree_5 → Gtree_6 → G
Heart rateNOM
73bpm
REF 60–100
SpO₂NOM
97.4%
REF 95–100
Resp rateNOM
15br/min
REF 12–20
HRV RMSSDNOM
49.9ms
REF 20–60
Inhaled CO₂NOM
522ppm
REF 400–600
CH1 · ARTERIAL PPG73 BPM · DICROTIC NOTCH VISIBLE
-60 s-30 snow
CH2 · RESPIRATORY ACOUSTIC / TIDAL15.1 BR/MIN · CO₂ 522 PPM
-60 s-30 snow
FIELD EVENT LOG
SYS · console initialised · model kapha_forest_7
HARDWARE DIGITAL TWIN
ESP32-S3 CHEST PATCH · NODE KP-01
WS2812B · GPIO1873BPM
BUZZER GPIO19
EDGE INFERENCE ENGINE
JS PORT OF triage_model.h · kapha_triage_infer()
- Ensemble
- 7 × decision tree
- Vote rule
- majority (argmax)
- Features
- hr · spo2 · rr · hrv · co2
- Last latency
- 2.0 µs
- Test accuracy
- 1.0000 held-out
- Footprint
- 0 heap · 0 malloc
- Interop
- HL7 FHIR R4 / ABDM
Identical decision boundaries run on the ESP32 node — the browser executes the exact exported forest, so on-screen classification matches field hardware bit for bit.