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
Total Patients Monitored
24
Immediate / Red Alert
2
Delayed / Yellow
5
Minor / Green
17
PATIENT TRIAGE ROSTER · CLICK A ROW FOR DETAILS
| Patient | Locket ID | Triage | Pulse | SpO₂ | Sector |
|---|---|---|---|---|---|
| L-01 | RK26-EF9801 | RED | 73 | 97.4% | A1 Camp Gate |
| L-02 | RK26-EF9802 | RED | 134 | 89% | A2 Medical Tent |
| L-03 | RK26-EF9803 | YELLOW | 112 | 92.9% | Kitchen Block |
| L-04 | RK26-EF9804 | YELLOW | 112 | 93.1% | A1 Camp Gate |
| L-05 | RK26-EF9805 | YELLOW | 111 | 92.9% | A2 Medical Tent |
| L-06 | RK26-EF9806 | YELLOW | 113 | 93.2% | Kitchen Block |
| L-07 | RK26-EF9807 | YELLOW | 111 | 92.8% | A1 Camp Gate |
| L-08 | RK26-EF9808 | GREEN | 83 | 97.7% | A2 Medical Tent |
| L-09 | RK26-EF9809 | GREEN | 81 | 97.2% | Kitchen Block |
| L-10 | RK26-EF9810 | GREEN | 83 | 97.8% | A1 Camp Gate |
| L-11 | RK26-EF9811 | GREEN | 80 | 97.2% | A2 Medical Tent |
| L-12 | RK26-EF9812 | GREEN | 84 | 97.9% | Kitchen Block |
| L-13 | RK26-EF9813 | GREEN | 80 | 97.1% | A1 Camp Gate |
| L-14 | RK26-EF9814 | GREEN | 84 | 97.9% | A2 Medical Tent |
| L-15 | RK26-EF9815 | GREEN | 80 | 97.1% | Kitchen Block |
| L-16 | RK26-EF9816 | GREEN | 84 | 98% | A1 Camp Gate |
| L-17 | RK26-EF9817 | GREEN | 80 | 97% | A2 Medical Tent |
| L-18 | RK26-EF9818 | GREEN | 85 | 98% | Kitchen Block |
| L-19 | RK26-EF9819 | GREEN | 79 | 97% | A1 Camp Gate |
| L-20 | RK26-EF9820 | GREEN | 85 | 98.1% | A2 Medical Tent |
| L-21 | RK26-EF9821 | GREEN | 79 | 96.9% | Kitchen Block |
| L-22 | RK26-EF9822 | GREEN | 85 | 98.1% | A1 Camp Gate |
| L-23 | RK26-EF9823 | GREEN | 79 | 96.9% | A2 Medical Tent |
| L-24 | RK26-EF9824 | GREEN | 85 | 98.2% | Kitchen Block |
mSTaRT ON-DEVICE CLASSIFICATIONLOCAL RELAY • 0-CLOUD
GREEN · MINOR / AMBULATORY
Monitor — no immediate intervention required
Votes
7/0/0
Confidence
100%
Inference
1.5 µs
Gateway Hop
Direct BLE
tree_0 → Gtree_1 → Gtree_2 → Gtree_3 → Gtree_4 → Gtree_5 → Gtree_6 → G
INGRESS: AIR-GAPPED HARDWARE BINDING ACTIVE
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
LOCALIZATION LAYER
BLE Mesh Topology
● Fixed relay◆ Wearable locket
±2.5m
LOCATION ACCURACY
3 HOPS
RELAY PATH
-65 dBm
BEST RSSI
GPS chips consume 25-40mA causing 80% battery drain, and fail under tin-sheet shelters. Passive BLE Mesh RSSI anchor mapping saves 90% power while locating patients within ±2.5 meters.
FIELD EVENT LOG
SYS · console initialised · model kapha_forest_7
HARDWARE DIGITAL TWIN
ESP32-S3 CHEST PATCH · NODE KP-01
WS2812B · GPIO1873BPM
BUZZER GPIO19
BATTERY & CONNECTIVITY
87%EST 4d 18h remaining
- BLE MESH LINK
- READY
- LAST SYNC
- 12 sec ago
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
- —
- 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.