Creator prompt
The idea behind this presentation
# RESQ-AI — Hackathon PPT Prompt (FINAL)
## CONTEXT — READ FIRST
This is an **ASYNC PPT SUBMISSION**. There is no presenter, no live pitch, no Q&A.
Judges open the file cold and decide shortlist-or-not in under 3–5 minutes,
skimming each slide for roughly 60–90 seconds. Every slide must fully carry
its own point — no relying on verbal explanation. One short caption per
slide replaces the presenter. Keep captions to one line, ~12 words max.
**Current build status: CONCEPT STAGE. Nothing is built yet.**
Never use "prototype" for anything functional. Never show a screen as if
it's a real working product. Use this language instead:
- `CONCEPT` — for the overall idea
- `CONCEPT INTERFACE — NOT YET BUILT` — for the GIS command center slide
- `PROPOSED ARCHITECTURE` — for the tech stack slide
- `ILLUSTRATIVE SCENARIO · EXAMPLE CALCULATION` — for the flood scenario and its risk score (94 / 95 out of 100 are worked examples, not live system output)
- Status framing where relevant: "Concept + UX direction validated this round, engineering build is next phase."
Any "concept only" tag must be large and visually unmissable, never fine print.
---
## PRODUCT STORY
RESQ-AI — AI-Powered Disaster Response & Rescue Coordination.
Flow: Disaster → Citizen SOS → Data → Risk Analysis → AI Decision → Priority GIS Zone → Recommended Response → Rescue Team Assignment → Coordinated Response
Tagline: FROM SOS TO THE NEXT BEST ACTION.
---
## STYLE
CLASSY + PREMIUM + MODERN + MINIMAL + EDITORIAL. Apple keynote × premium
editorial magazine × modern AI product × emergency operations center.
No neon, no cyberpunk, no gaming UI, no glassmorphism overload, no generic
corporate template, no walls of text, no 8+ bullet lists, no screenshots
claiming to be a real working product, no animations (deck may be viewed
as static PDF — every slide must work as a still image).
**Palette:** deep charcoal, warm black, soft ivory, off-white, graphite,
stone gray, muted emergency red (sparing use only), subtle burgundy,
restrained navy.
**Typography:** large confident headlines, small uppercase metadata,
big numbers as design elements, generous whitespace, intentional alignment.
**Signature overlay — apply identically to every slide, no exceptions:**
1. Faint geographic grid/contour-line texture behind content, ~4–8% opacity, graphite/stone gray
2. Small thin crosshair/reticle mark, same corner, same size, every slide
3. Thin single rule under every slide's headline
Nothing else added per-slide beyond these three — restraint is the design choice.
**Slide rule:** 1 headline + 1 hero visual + 1 caption sentence + 2–4
supporting labels max. Test: "would a judge understand this in 60 seconds,
alone, with no narration?" If not, simplify — don't add more text.
---
## SLIDE-BY-SLIDE CONTENT (11 slides, no repeated ideas)
**Slide 1 — Hero**
RESQ-AI — From SOS to the Next Best Action
Presenter: [name] · Date: [date]
Overview: AI-powered disaster response and rescue coordination, connecting citizen SOS to coordinated action.
Status: CONCEPT SUBMISSION — HACKATHON PPT ROUND
**Slide 2 — Problem**
Fragmented signals delay decisive response
Fragment 1: Fragmented citizen SOS
Fragment 2: Disconnected response data
Fragment 3: Delayed risk prioritization
Fragment 4: Uncoordinated rescue assignment
Caption: Every extra minute of fragmented data costs response time.
Impact stat: [STAT TBD — add real sourced number if available, do not fabricate]
**Slide 3 — Solution (the ONE full flow diagram — appears in full only here)**
One connected path from SOS to action
Flow: Disaster → Citizen SOS → Data → Risk Analysis → AI Decision → Priority GIS Zone → Recommended Response → Rescue Team Assignment → Coordinated Response
Input: Disaster and citizen signals
Intelligence: Risk analysis and AI decision
Action: Assignment and coordinated response
Caption: Turning fragmented emergency data into coordinated response decisions.
**Slide 4 — Differentiation**
Most tools stop at alerting
Tag: DIFFERENTIATION
Fragment 1: Existing tools — Detect → Alert → [stops]
Fragment 2: RESQ-AI — Detect → Analyze → Decide → Act
Caption: Other tools flag disasters. RESQ-AI recommends the next move.
**Slide 5 — Scenario**
A flood just hit
Tag: ILLUSTRATIVE SCENARIO · EXAMPLE CALCULATION
Metadata: Incident #RX-104
Flow: Flood event → Citizen SOS points → Risk analysis → Priority GIS zone → Recommended response
Labels: 40 people at risk · Medical emergency · Severe flooding · Rising water
Result: 94 Risk Score · P1/Critical
Recommended: Rescue + Medical Response
Caption: One signal, one score, one recommended action.
**Slide 6 — Decision Engine**
Why 94?
Tag: Sample scoring model — weights are illustrative
Fragment 1: Population risk +25
Fragment 2: Disaster severity +25
Fragment 3: Medical emergency +20
Fragment 4: Infrastructure +15
Fragment 5: Weather +10
Result: 95/100 Critical
Situation: Severe flooding + high population risk + medical emergency.
Next Best Action: Rescue · Medical · Evacuation
Caption: Explainable risk, not a black box.
**Slide 7 — GIS Command Center**
GIS command center for coordinated response
Tag: CONCEPT INTERFACE — NOT YET BUILT
Proposed UI: GIS map, priority zone, SOS context, response recommendation
Labels: Map · Priority · Recommendation · Assignment
AI Decision: 94 · P1/Critical · 40 at risk · Medical: 02
Fragment 1: 127 people at risk
Fragment 2: 05 incidents
Fragment 3: 18 teams
Fragment 4: 08m est. response
Caption: A shared geographic view connects decisions with rescue coordination.
**Slide 8 — Decision to Action**
Decision becomes coordinated field action
Action chain: AI Decision → Priority GIS Zone → Recommended Response → Rescue Team Assignment → Coordinated Response
Decide: Convert analysis into action
Locate: Identify the priority zone
Assign: Connect response with rescue teams
Recommends: Rescue · Medical · Evacuation · Supplies
Status: Team Assigned · ETA 08 min
Caption: The output is an assigned response, not another alert.
**Slide 9 — Technology**
PROPOSED ARCHITECTURE
| Layer | Role |
|---|---|
| Frontend | React + TypeScript |
| Backend | FastAPI + Python |
| Intelligence | RESQ-AI Decision Engine — risk scoring, AI analysis, priority detection |
| Data | PostgreSQL + PostGIS |
| Operations | GIS Command Center, rescue coordination |
Labels: Leaflet GIS · Recharts · AI/LLM Integration · Future External APIs
Caption: Engineering build begins next phase.
**Slide 10 — Status**
Concept to build
Current status: Concept + UX direction validated this round
Next phase: Engineering build
Status line: CONCEPT VALIDATED · BUILD PHASE NEXT
Caption: The response model is defined; implementation is the next phase.
**Slide 11 — Closing**
RESQ-AI — From SOS to the Next Best Action
Tagline: FROM SOS TO THE NEXT BEST ACTION.
Closing flow: Citizen SOS → Risk Analysis → AI Decision → Coordinated Response
Status: CONCEPT VALIDATED · BUILD PHASE NEXT
Caption: Disaster response moves from fragmented signals to coordinated action.
---
## OPEN ITEM
- [ ] Impact stat (slide 2): real, sourced number on disaster response
coordination delays. Leave as [STAT TBD] if not sourced — never fabricate.
## FINAL CHECK
Every slide understandable alone in under a minute, no narration. Overlay
identical across all 11 slides. No slide repeats another slide's core idea
(flow diagram appears in full once — slide 3 — plus one small closing
callback on slide 11). Numbers/architecture are specific, not vague.