---
title: "Reconstructed Slides: How to Build Planning Agents without losing control - Yogendra Miraje, Factset"
category: "slides"
video_id: "sl3icG-IjHo"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: How to Build Planning Agents without losing control - Yogendra Miraje, Factset

## Source Video
[How to Build Planning Agents without losing control - Yogendra Miraje, Factset](https://www.youtube.com/watch?v=sl3icG-IjHo)

## 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/sl3icG-IjHo/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `160.11`
![[assets/reconstructed-slides/sl3icG-IjHo/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 540]` score `175.6`
## Dense Scene-Detected Slide Candidates
- [[youtube-sl3icG-IjHo-dense-slides]]