---
title: "Reconstructed Slides: Voice AI: when is the \"Her\" moment? — Neil Zeghidour, CEO, Gradium AI"
category: "slides"
video_id: "P_RI1kCkRbo"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Voice AI: when is the "Her" moment? — Neil Zeghidour, CEO, Gradium AI

## Source Video
[Voice AI: when is the "Her" moment? — Neil Zeghidour, CEO, Gradium AI](https://www.youtube.com/watch?v=P_RI1kCkRbo)

## Method
This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

## Reconstructed Slides
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `157.81`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.53`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `167.26`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.98`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `176.56`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `164.11`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `165.99`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.3`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `163.66`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.06`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.25`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.95`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.82`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.27`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `166.63`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-016.jpg]]

- Source frame: `slide-016.jpg`
- Crop: `contour` `[0, 0, 960, 540]` score `177.07`
![[assets/reconstructed-slides/P_RI1kCkRbo/slide-017.jpg]]

- Source frame: `slide-017.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.2`
## Dense Scene-Detected Slide Candidates
- [[youtube-P_RI1kCkRbo-dense-slides]]