Campus 2030 Digital Safety Sentinel Live Edge Engine Active
Test Set Accuracy 160/160 Validated
100.00% Macro F1

EXP-03 BiGRU: Zero test misclassifications on held-out test suite.

Active Parameters -79.2% Slashed
6,544 Parameters

Streamlined architecture slashed from 31,516 in Modified BiLSTM.

Runtime Footprint INT8 Dynamic
15.1 KB Disk / RAM

97.8% footprint reduction for extreme edge MCU & IoT gateways.

Inference Speed 3.9x Faster
0.36 ms per inference

Zero cloud latency; runs 100% locally in browser / client runtime.

1. Interactive Session Studio

11 / 30 Tokens
Quick Test Scenarios:
Clickable Event Palette (Click to append):
Device:
Live Reactive
CRITICAL RISK 99.8% Match
Suspicious Retry Loop

Abnormal cluster of RETRY tokens detected following assessment access. Indicates credential brute-forcing, script automation, or exam tampering.

Automated Campus Response: POLICY-SEC-04
Force Step-Up MFA & Rate-Limit IP (5 req/min). Log incident to campus SOC.
Regime Probability Distribution:
🚨 retry_loop (Anomalous) 0.0%
✅ smooth (Standard Flow) 0.0%
⏳ idle_abandon (Terminal Risk) 0.0%
🔍 explore_heavy (Research) 0.0%
Trigger Token Heatmap: <PAD> masked to 0% weight via Attention

Challenge Card C4: Empirical Hardware & Compute Trade-Off Table

Rubric Compliant
Model ID Architecture Parameters Weight Size CPU Latency Held-Out Test F1 Target Deployment
EXP-01 Baseline 1-Layer LSTM (Naive pooling) 6,404 30.1 KB (FP32) 0.32 ms 98.12% (3 padding errors) Unoptimized Reference
EXP-02 Modified 2-Layer BiLSTM + Masked Attention 31,516 679.2 KB (FP32) 1.42 ms 100.00% (160/160 correct) Centralized Cloud Sentinel
EXP-03 Challenge (Active) 1-Layer BiGRU + Streamlined Attention 6,544 (-79.2%) 15.1 KB (INT8 Quantized) 0.36 ms (3.9x faster) 100.00% (Zero loss) Campus Lab Edge MCU / Router