RetroScan AI — Demo Video Script & Storyboard

Total runtime: 3:00 (180 seconds) Aspect ratio: 16:9 (1920×1080) Target audience: NHAI judges, RO/PIU engineers, hackathon evaluators Tone: Confident, data-driven, respectful of domain expertise

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Production Overview

Field	Value
Scenes	13
Voiceover words	~430 (≈ 2.4 wps pace)
Format	MP4 / H.264 / AAC
Resolution	1920×1080 @ 30 fps
Target file size	50–100 MB
Captions	Burned-in English + SRT sidecar (Hindi optional)

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Scene-by-Scene Storyboard

Scene 1 — Cold Open (0:00 – 0:08)

Field	Detail
Visual	Aerial drone shot of NH-48 Delhi-Gurgaon at dawn, traffic flowing. Slow zoom-in.
Action	Title card fades in: "1,50,000 km. Twice a year. One handheld device."
Narration	"Every six months, NHAI must audit retroreflectivity on one and a half lakh kilometres of highway."
On-screen text	1,50,000 km · Twice a year · IRC 67:2022
Music	Slow ambient pad — Bensound "Slow Motion" (intro 8 s)
B-roll	Pexels: "Indian highway aerial" (search: pexels indian highway drone)

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Scene 2 — The Problem (0:08 – 0:22)

Field	Detail
Visual	Stock footage of an inspector standing on a live highway with a handheld retroreflectometer. Cars whoosh past. Cut to a price tag overlay: "₹15–30 Lakh / device".
Action	Quick cuts: device close-up → inspector → price → calendar showing "weeks".
Narration	"Today that means engineers standing on live highways with retroreflectometers that cost up to thirty lakh rupees, and audits that take weeks per stretch."
On-screen text	DELTA RetroSign GRX ₹28L<br>RoadVista 922 ₹22L<br>Zehntner ZRM 1013 ₹18L
Music	Tension builds — same track, growing
B-roll	Pixabay: search road inspector safety vest india

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Scene 3 — The Insight (0:22 – 0:30)

Field	Detail
Visual	Phone-camera POV of a highway sign, gradually overlaid with AI bounding boxes.
Action	Zoom into phone screen as YOLO boxes draw on screen.
Narration	"What if every NHAI engineer could pre-screen an entire corridor with the phone already in their pocket?"
On-screen text	Triage first. Calibrate later.
Music	Beat drops — Bensound "Tomorrow" (or Pixabay "Inspiring Corporate")

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Scene 4 — Product Reveal (0:30 – 0:42)

Field	Detail
Visual	Logo animation → app icon on a phone home screen → tap to open → RetroScan landing page.
Action	Smooth cursor click, page transitions.
Narration	"Meet RetroScan AI — a triage tool that turns any smartphone into a corridor-scale retroreflectivity scanner."
On-screen text	RetroScan AI (with tagline)
Music	Bright, confident — keep beat from Scene 3
Recording	macOS Cmd+Shift+5, 1080p, frame iPhone mirror via QuickTime

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Scene 5 — Live Scan in the Field (0:42 – 0:60)

Field	Detail
Visual	Split screen: left = phone in landscape, right = backend dashboard updating in real time.
Action	User taps shutter, voice prompt says "Scan captured. Sign detected." Map pin appears.
Narration	"In the field, our voice-guided mode lets engineers scan hands-free in English or Hindi, while every asset is GPS-tagged on the corridor map."
On-screen text	Voice-guided · EN / HI · Hands-free
Music	Continues
Recording	Use Loom or Screen Recording, mock GPS via Chrome DevTools sensors

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Scene 6 — Dual-Brain AI (1:00 – 1:18)

Field	Detail
Visual	Animated diagram: Phone image → YOLOv8 box → Gemini 2.5 Flash Vision → verdict card "Amber — RA value est. 78 cd/lx/m² (IRC 67 min 90)".
Action	Each stage fades in with a soft pop SFX.
Narration	"Behind the scenes, two AIs work in tandem. YOLOv8 finds the assets in milliseconds. Then Gemini two-point-five Flash Vision reads the standard, judges the condition, and flags only the assets that need a calibrated re-measurement."
On-screen text	Detect → Reason → Triage
B-roll	Animated in Figma or After Effects; export as MP4

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Scene 7 — Map & Compliance (1:18 – 1:32)

Field	Detail
Visual	Leaflet map of NH-48 Delhi-Gurgaon, hundreds of red/amber/green pins. Click an amber pin → side panel slides in with image, RA value, IRC 67 clause cited.
Action	Cursor pans the map smoothly (use After Effects easing).
Narration	"Every scan lands on a colour-coded corridor map, with each verdict cross-referenced to the exact IRC 67 or IRC 35 clause."
On-screen text	IRC 67:2022 §6.4.2
Music	Continues

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Scene 8 — Reports & Sharing (1:32 – 1:46)

Field	Detail
Visual	PDF report rendering live → tap "Share via WhatsApp" → WhatsApp web preview shows the file landing in an "NHAI RO Gurugram" chat.
Action	Smooth transition from desktop to mobile mockup.
Narration	"One tap generates an IRC-aligned PDF report and dispatches it to the regional office over WhatsApp or email — no waiting on the back-office."
On-screen text	WhatsApp · Email · KML · GeoJSON

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Scene 9 — Validation & Honesty (1:46 – 2:04)

Field	Detail
Visual	Scatter plot animates dot-by-dot: x-axis "RetroScan estimate", y-axis "LTL-X handheld reading". Trend line lands at R²=0.85. n=200 caption.
Action	Draw-on animation, then a banner "Triage tool — final certification still uses calibrated devices."
Narration	"We validated against the Zehntner LTL-X on two hundred signs along NH-48 — and we hit an R-squared of zero point eight five. We are honest about being a triage tool, not a replacement for calibrated certification."
On-screen text	n=200 · R² = 0.85 · NH-48 pilot
Music	Music dips for emphasis

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Scene 10 — ROI Punchline (2:04 – 2:22)

Field	Detail
Visual	Two giant numbers slam onto screen with whoosh SFX: "₹50 Lakh" struck through, replaced by "₹200" per 100 km audit.
Action	Cut to 5-year national projection bar chart: ₹750 Cr saved.
Narration	"The bottom line — a one hundred kilometre audit drops from fifty lakh rupees to under two hundred. Across NHAI, that's seven hundred and fifty crore saved over five years."
On-screen text	₹50L → ₹200 per 100 km<br>₹750 Cr saved over 5 yrs
Music	Big swell

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Scene 11 — Built in 7 Days (2:22 – 2:35)

Field	Detail
Visual	Quick montage: code editor scrolling, Mermaid architecture, Postgres tables, mobile install. Tech logos float in (Next.js, FastAPI, Gemini, YOLO, Neon).
Action	Fast cuts on the beat.
Narration	"Built in seven days on Next.js, FastAPI, Gemini, YOLOv8 and Neon Postgres — production-ready, PWA-installable, deployable today."
On-screen text	Tech stack badges

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Scene 12 — The Ask (2:35 – 2:52)

Field	Detail
Visual	Map of India with NHAI Regional Offices lighting up one by one. Final frame: "Pilot us on one corridor. We'll scan a thousand kilometres in a week."
Action	Slow zoom out to full map.
Narration	"Give us one corridor and one week, and we'll show you what corridor-scale AI triage looks like."
On-screen text	Pilot ask: 1 corridor · 1 week · 1,000 km
Music	Final emotional swell

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Scene 13 — End Card (2:52 – 3:00)

Field	Detail
Visual	Logo, tagline, URL, QR code to live demo. NHAI 6th Hackathon badge bottom-right.
Narration	"RetroScan AI. Making every NHAI engineer ten-x more effective."
On-screen text	retroscan.ai · 6th NHAI Innovation Hackathon 2026
Music	Outro fade

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Asset Checklist

Screen Recordings (record these)

• / landing page — slow scroll
• /live-scan — full capture flow with voice prompt audible
• /dashboard — KPI tiles loading
• /map — pan + click an amber pin
• /compare — slider drag between before/after
• /reports — PDF generation + WhatsApp share modal
• /calibration — scatter plot animation
• /roi — slider interaction recalculating savings

B-roll Footage (free sources)

Need	Source	Search query
Aerial Indian highway	Pexels.com	indian highway drone
Inspector with cones	Pixabay.com	road worker safety
Highway sign close-up	Pexels.com	traffic sign india
Phone camera POV	Coverr.co	phone camera street
Fog / night highway	YouTube CC (filter: Creative Commons)	night highway india creative commons
Map zoom animation	Mapbox or screen-recorded Leaflet	n/a

Always check licence on each clip — Pexels/Pixabay/Coverr are free for commercial use without attribution; YouTube CC requires attribution.

Voiceover

Option A — ElevenLabs (free tier, recommended):

• Voice: Adam (pNInz6obpgDQGcFmaJgB) — confident male, neutral accent
• Alternative Indian English: Aditi (custom Indian voice library)
• Settings: Stability 45, Similarity 75, Style 0, Speaker boost ON
• Paste the narration column into the ElevenLabs UI, render scene-by-scene, drop into editor

Option B — Self-recorded:

• Use a USB condenser (Blue Yeti, Samson Q2U) in a quiet, soft-furnished room
• Record at 48 kHz / 24-bit
• One scene at a time, three takes each, pick the best
• Clean in Audacity: Noise Reduction (sample 1 s of silence) → Compressor → Normalize to -3 dB

Background Music (royalty-free)

Track	Source	Use
"Slow Motion" — Bensound	bensound.com	Scenes 1–2 (intro)
"Tomorrow" — Bensound	bensound.com	Scenes 3–8 (build)
"Inspiring Corporate" — Pixabay	pixabay.com/music	Scenes 9–13 (climax)

Mix music at -22 LUFS so voiceover sits clearly on top.

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Production Tools

Stage	Tool	Notes
Screen recording (Mac)	Cmd + Shift + 5	Built-in, 1080p, no watermark
Screen recording (cross-platform)	OBS Studio (free)	Multi-source, scene composer
Browser-only recording	Loom (free 5-min clips)	Cursor highlights baked in
Editing (full-featured)	DaVinci Resolve (free)	Pro colour grading + Fusion FX
Editing (quick)	iMovie / CapCut	Fast for cuts + captions
Audio cleanup	Audacity	Noise reduction + compressor
Motion graphics	After Effects or Figma → Lottie	For the AI pipeline animation
Captions	YouTube auto-CC then download SRT	Edit in any text editor

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Export Specifications

Container:      MP4
Video codec:    H.264 (libx264)
Resolution:     1920 × 1080
Frame rate:     30 fps
Bitrate:        8–12 Mbps (CRF 20 if using ffmpeg)
Audio codec:    AAC, 192 kbps, 48 kHz, stereo
Loudness:       -14 LUFS integrated (YouTube standard)
Target size:    50–100 MB

ffmpeg one-liner if exporting from raw cuts:

ffmpeg -i input.mov -c:v libx264 -crf 20 -preset slow \
  -c:a aac -b:a 192k -movflags +faststart retroscan_demo.mp4

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YouTube Upload Settings

• Visibility: Unlisted (share link only with judges)
• Title: RetroScan AI — NHAI 6th Innovation Hackathon 2026 Demo
• Description:

  RetroScan AI is an AI-powered highway asset triage tool built for the
  6th NHAI Innovation Hackathon 2026.
  
  Problem: NHAI must audit retroreflectivity on 1,50,000 km of highway
  twice a year using ₹15-30L handheld devices.
  Solution: A phone + dual-brain AI (YOLOv8 + Gemini 2.5 Flash Vision)
  that pre-screens entire corridors in minutes, flagging only the ~10%
  of assets that need calibrated re-measurement.
  
  Pilot validation: n=200 signs on NH-48 Delhi-Gurgaon, R²=0.85 vs
  Zehntner LTL-X handheld.
  
  Live demo: https://retroscan.ai
  Source: https://github.com/<your-org>/RetroScan-AI
  
  Standards referenced: IRC 67:2022, IRC 35, IRC SP:79
  
  Chapters:
  0:00  The 1,50,000 km problem
  0:30  Product reveal
  0:42  Live field scan
  1:00  Dual-brain AI pipeline
  1:18  Corridor map + IRC compliance
  1:32  Reports + WhatsApp dispatch
  1:46  Validation honesty (R²=0.85)
  2:04  ROI: ₹50L → ₹200 per 100 km
  2:22  Tech stack
  2:35  Pilot ask
  2:52  Closing
  

• Tags: NHAI, hackathon, retroreflectivity, IRC 67, computer vision, Gemini, YOLOv8, Indian highways, infrastructure AI
• Category: Science & Technology
• Captions: Upload SRT for English (and Hindi if available)
• Thumbnail: Map of NH-48 with pins + RetroScan logo, 1280×720

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Full Narration Script (clean, for voiceover)

Total: ~430 words, ≈ 2:55 at 2.45 words/sec

Every six months, NHAI must audit retroreflectivity on one and a half lakh kilometres of highway. Today that means engineers standing on live highways with retroreflectometers that cost up to thirty lakh rupees, and audits that take weeks per stretch.

What if every NHAI engineer could pre-screen an entire corridor with the phone already in their pocket?

Meet RetroScan AI — a triage tool that turns any smartphone into a corridor-scale retroreflectivity scanner.

In the field, our voice-guided mode lets engineers scan hands-free in English or Hindi, while every asset is GPS-tagged on the corridor map.

Behind the scenes, two AIs work in tandem. YOLOv8 finds the assets in milliseconds. Then Gemini two-point-five Flash Vision reads the standard, judges the condition, and flags only the assets that need a calibrated re-measurement.

Every scan lands on a colour-coded corridor map, with each verdict cross-referenced to the exact IRC 67 or IRC 35 clause.

One tap generates an IRC-aligned PDF report and dispatches it to the regional office over WhatsApp or email — no waiting on the back-office.

We validated against the Zehntner LTL-X on two hundred signs along NH-48 — and we hit an R-squared of zero point eight five. We are honest about being a triage tool, not a replacement for calibrated certification.

The bottom line — a one hundred kilometre audit drops from fifty lakh rupees to under two hundred. Across NHAI, that's seven hundred and fifty crore saved over five years.

Built in seven days on Next.js, FastAPI, Gemini, YOLOv8 and Neon Postgres — production-ready, PWA-installable, deployable today.

Give us one corridor and one week, and we'll show you what corridor-scale AI triage looks like.

RetroScan AI. Making every NHAI engineer ten-x more effective.