SurgeCut: Surgical Video Editing App

Project Title

Desktop App for Automated Surgical Video Editing (MVP – Video Processing)

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Project Description

I am a surgeon developing an innovation project focused on surgical education.

I am looking for a developer (or small team) to build the MVP of a desktop application called SurgeCut, designed to automatically condense long laparoscopic surgery videos into short educational highlights.

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Project Context

Laparoscopic surgeries are recorded in full (1–6 hours), often split into multiple video files totaling 1–5GB (HD or 4K).

Manual editing is time-consuming and inefficient.

The goal is to create a desktop app that:
• Merges multiple video files automatically
• Detects low-activity moments (“dead time”)
• Removes those segments
• Generates a condensed highlight version
• Allows simple manual adjustments
• Supports text overlays and basic annotations

This is strictly for educational purposes (no patient identification involved).

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MVP Scope (Simple Version)

The first version does NOT require advanced AI or deep learning.

Core features:
• Upload multiple video files
• Automatic video merging
• Frame-difference / motion-based analysis
• Automatic removal of low-motion segments
• Export condensed MP4 video
• Simple timeline interface for manual trimming
• Basic text/overlay insertion

No cloud required initially — local processing is preferred.

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Preferred Tech Stack (Open to Suggestions)

Backend / Video Processing:
• Python
• OpenCV
• FFmpeg

Frontend:
• Electron / Tauri
• React or similar

Must support:
• Windows and Mac
• Efficient handling of large files (up to 5GB)

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Project Type

MVP development with potential long-term expansion into:
• Advanced AI
• SaaS platform
• International commercialization

I am looking for someone with product mindset, not just coding skills.