# Emerge Hackathon 2026 — CHAIR FORCE ONE

> **"We don't detect the fall... we detect the conditions that guarantee it."**

## The Concept

A single **omnibus platform** that treats every problem as a node in one unified sensing → reasoning → acting pipeline. The wheelchair is the anchor use case, but the architecture generalizes to any operator (astronaut, firefighter, nurse, soldier) in any environment (hospital, wildfire, deep space, lunar surface).

**Narrative:** A wheelchair user IS an operator in an extreme environment. Pressure injuries are their "radiation exposure." Loss of cellular signal is their "degraded comms." Their cushion telemetry is their "mission telemetry." By solving the wheelchair problem with the same architecture used for space/defense, every module reinforces every other.

**Tagline:** DETECT WHEN THE NEXT EAGLE FALLS

---

## Presentation Strategy

- **3 slides max, 5 minutes** (per handbook)
- **POV Madlib:** "A wheelchair user navigating daily life... needs an intelligent guardian system that predicts and prevents health crises across pressure, posture, cardiac, and environmental domains... because compounding invisible risks — from tissue damage to cardiac events to environmental hazards — escalate silently, and current systems are reactive, not predictive."
- Slide assets: `assets/image1.png` (Mission Briefing), `assets/image2.png` (Problem Statement)

---

## All 24 Problems → 6 CHAIR FORCE ONE Modules

### MODULE 1: BODY (Problems 1-4) — Kalogon
Sponsor: **Kalogon** | Data: cushion_telemetry (9.4M rows, Parquet)

| Problem | Module |
|---------|--------|
| 1 - Pressure-Injury Risk | `body/pressure_risk.py` — longitudinal risk profiles, time-above-threshold, CoP drift |
| 2 - Pressure-Relief Quality | `body/relief_quality.py` — episode classification (effective vs ineffective tilts) |
| 3 - Activity Phenotypes | `body/activity_phenotypes.py` — pressure+IMU fusion → activity segmentation |
| 4 - Posture Change Alerts | `body/posture_alerts.py` — baseline learning + anomaly detection on CoP/load |

### MODULE 2: HEART (Problems 21-24) — Who We Play For
Sponsor: **Who We Play For** | Data: ECG dataset (onsite) + PTB-XL (PhysioNet)

| Problem | Module |
|---------|--------|
| 21 - Synthetic ECG Generation | `heart/synthetic_gen.py` — GAN/VAE for rare abnormalities |
| 22 - Algo vs AI/ML for ECG | `heart/algo_vs_ml.py` — categorize + benchmark |
| 23 - SOTA ECG Architecture | `heart/ecg_transformer.py` — transformer on 4090 |
| 24 - ECG Image Cropping | `heart/ecg_image_pipeline.py` — CV: segment + extract 12 leads |

### MODULE 3: ENVIRONMENT (Problems 13-14) — BoxMica
Sponsor: **BoxMica** | Data: NOAA, Sentinel-1/2, AQI, solar activity (onsite)

| Problem | Module |
|---------|--------|
| 13 - Health Risk Prediction | `environment/health_risk.py` — fuse env + wearable → risk score |
| 14 - Radiation & Hazard Protection | `environment/hazard_protection.py` — exposure routing |

### MODULE 4: SPACE (Problems 15-18) — BoxMica
Sponsor: **BoxMica** | Data: TLE catalogs, lunar imagery (onsite)

| Problem | Module |
|---------|--------|
| 15 - Launch Detection & Cueing | `space/launch_detection.py` — multi-modal fusion |
| 16 - Space Object Behavior | `space/object_behavior.py` — TLE anomaly detection |
| 17 - Delay-Tolerant Operations | `space/delay_tolerant.py` — autonomous agent + store-and-forward |
| 18 - Lunar Surface Awareness | `space/lunar_awareness.py` — terrain/activity monitoring |

### MODULE 5: AUTONOMY (Problems 5-7) — BeeNex
Sponsor: **BeeNex** | Data: WorkLin Firebase/GCP codebase

| Problem | Module |
|---------|--------|
| 5 - Autonomous Delivery Loop | `autonomy/delivery_loop.py` — Discord→code→test→deploy→QA |
| 6 - Delivery Analytics | `autonomy/delivery_analytics.py` — instrument the loop |
| 7 - Safe AI Extension | `autonomy/safe_ai_broker.py` — guardrails for auto changes |

### MODULE 6: OPERATIONS (Problems 8-12, 19-20) — MyelAI + Steppingblocks
Sponsors: **MyelAI** (8-12), **Steppingblocks** (19-20)

| Problem | Module |
|---------|--------|
| 8 - Conversation to State | `ops/conversation_state.py` — NLP extraction |
| 9 - Critical-Path Stalls | `ops/critical_path.py` — dependency stall detection |
| 10 - Workflow Decomposition | `ops/workflow_decomposition.py` — task classification |
| 11 - Integration Gaps & Tax | `ops/integration_gaps.py` — hidden cost quantification |
| 12 - Automation Roadmap | `ops/automation_roadmap.py` — prioritized recommendations |
| 19 - Text-to-SQL | `ops/text_to_sql.py` — NL→SQL over Lakehouse |
| 20 - Data Alignment | `ops/record_linkage.py` — schema-align table pairs |

---

## Unified Data Flow

```
SENSORS                    EDGE (Pi 5 / Laptop+4090)           CLOUD (Databricks)
─────────                  ──────────────────────────           ──────────────────
Kalogon Mat ──┐             ┌──────────────────────────┐        ┌──────────────┐
ESP32 CSI ───┤  MQTT/BLE   │  CHAIR FORCE ONE Engine   │ Delta  │ Unity Catalog │
AD8232 ECG ──┤ ──────────→ │   body/ heart/ env/       │ ────→  │  cushion_tel  │
IMU/GPS ─────┤             │   space/ autonomy/ ops/   │        │  ecg_records  │
Env sensors ─┘             │                            │        │  env_readings │
                           │  Delay-Tolerant Queue      │        └──────┬───────┘
                           │  Gemini AI interpretation   │               │
                           │  ElevenLabs voice alerts    │        Text-to-SQL (P19)
                           │  Autonomous agent (P5-7)    │        Record Link (P20)
                           └──────────────────────────┘
                                      │
                                Dashboard :5000
```

---

## Hardware BOM

| Component | Qty | Role | Est Cost |
|-----------|-----|------|----------|
| Seeed XIAO ESP32-C6 | 3 | WiFi CSI mesh (Sensus) | $24 |
| ESP32-S3 Sense | 3 | Audio capture | $30 |
| Raspberry Pi 5 (16GB) | 1 | Edge AI hub | $80 |
| TP-Link AX1500 | 1 | Dedicated CSI network | $40 |
| Kalogon Smart Cushion | 1 | 10-zone pressure mat | Sponsor |
| AD8232 ECG module | 1 | Single-lead ECG | $10 |
| MAX30102 | 1 | SpO2 + HR ground truth | $5 |
| DHT11 + CCS811 | 1 | Temp/humidity + CO2 | $10 |
| GSR sensor | 1 | Skin conductance | $5 |
| **Total** | | | **~$204** |

---

## Folder Structure

```
scihackathon/
├── ARCHITECTURE.md
├── assets/                      ← Slide images (image1.png, image2.png)
├── data/
│   ├── kalogon/                 ← 8 Parquet files
│   ├── ecg/                     ← ECG datasets
│   ├── environmental/           ← NOAA, AQI, Sentinel
│   ├── enterprise_sql/          ← Olist, Uber SQLite
│   ├── space/                   ← TLE, lunar imagery
│   ├── beenex/                  ← WorkLin codebase
│   └── myelai/                  ← Synthetic comms
├── body/                        ← Problems 1-4
├── heart/                       ← Problems 21-24
├── environment/                 ← Problems 13-14
├── space/                       ← Problems 15-18
├── autonomy/                    ← Problems 5-7
├── ops/                         ← Problems 8-12, 19-20
├── chairforce_core/             ← Shared: fusion engine, MQTT, delay-tolerant queue
├── dashboard/                   ← Unified web UI
├── notebooks/                   ← EDA + Databricks notebooks
└── sensus/ → ../hackusf2026/sensus
```

---

## Repos to Clone

```powershell
cd E:\data\code\claudecode\scihackathon
git clone https://github.com/KalogonTech/kalogon_sci_hackathon_2026.git data/kalogon-repo
git clone https://github.com/BillulloNex-External-Collab/WorkLin.git data/beenex
git clone https://github.com/Myelai-Inc/hackathon_subspace.git data/myelai
```

---

## Submission Checklist

- [ ] 3-slide PDF presentation (use CHAIR FORCE ONE branding)
- [ ] POV Madlib statement
- [ ] Live demo (dashboard + hardware if Tinkerers track)
- [ ] Links to repos/notebooks
- [ ] All team members complete feedback survey
- [ ] Submit by 2:00 PM to @Sailesh Kadam
- [ ] Final team list by 10:00 AM April 11