Problem Statement
Outage advisories live in scattered Facebook posts; sari-sari freezers thaw ₱5,000 of ice cream before owners know. After typhoons and the Mindanao quake, cold storage and fish ports bleed money while families don’t know whether to cook everything or wait.
Proposed Solution
Search purok: live status (may ilaw/wala/scheduled), cause (advisory vs storm damage), and restoration window with confidence. Citizens confirm with one tap; freezer checklist auto-sends (“I-transfer sa cooler sa loob ng 4h”). SMS works with zero data.
Target Market
- Primary users: Households, sari-sari owners, fish vendors.
- B2G: LGU disaster desks, market admins.
How AI Is Used
- Advisory parser: LLM reads messy utility posts into structured outage rows.
- Restoration estimator: Small model on history + wind damage predicts window.
PLDT / Smart / ePLDT / Rokid Angle
- Smart: SMS outage alerts + backup LTE for halls.
- ePLDT: Hosts outage history for LGU planning.
Demo Scenario (3 minutes for judges)
- Search mock purok; map shows outage + 6h estimate.
- Citizen confirm bumps confidence live.
- Freezer checklist sends via SMS to a judge’s phone.
- Show scheduled-maintenance case for contrast.
- Close: “Bago matunaw ang paninda.”
30-Hour Build Plan
| Hours | Task | Role |
|---|---|---|
| 0–3 | Mock advisories + freezer guides | All |
| 3–12 | Parser + estimator | AI lead |
| 3–10 | Map + SMS | Backend |
| 10–20 | Purok UI | Frontend |
| 20–26 | Storm-scenario test | All |
| 26–30 | Pitch, disclosure | PM / Pitch |
Suggested stack: Next.js + Leaflet, FastAPI, outage aggregator, SMS alerts. Public data / APIs: Public utility advisories, PAGASA winds.
Risks & Privacy Notes
- Wrong estimates: Windows show confidence and source; never promise exact restoration. Demo puroks fictional.
- Privacy: Reports aggregated, no household data into AI tools.
AI Use Disclosure (draft)
Uses LLM parsing plus a small estimator. Coding assistants helped with map code. All demo windows human-checked.
Rubric Scoring
| Criterion | Weight | Score (1–5) | Why |
|---|---|---|---|
| Innovation & creativity | 25% | 3 | Outage maps exist; purok + freezer angle helps |
| Problem–solution fit | 25% | 4 | Brownout losses are daily |
| AI application & value | 20% | 3 | Parsing + estimation |
| Feasibility | 15% | 5 | Very buildable |
| Impact & scalability | 15% | 4 | Nationwide utilities |
| Weighted total | 4.00 |