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Merge pull request #437 from ddemaio/master
publish gsoc blog
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_posts/2025/2025-10-07-gsoc-semantic-video-search.md.md renamed to _posts/2025/2025-10-07-gsoc-semantic-video-search.md

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---
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author: [Your Name]
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date: 2025-10-02 10:00:00+02:00
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author: Akash Kumar
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date: 2025-10-08 10:00:00+02:00
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layout: post
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image: /wp-content/uploads/2025/10/vidsearch.png
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license: CC-BY-SA-3.0
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title: "GSoC 2025: Building a Semantic Search Engine for Any Video"
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image: /wp-content/uploads/2025/10/gsoc-semantic-search.png
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title: GSoC 2025, Building a Semantic Search Engine for Any Video
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badge: Community Contribution
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categories:
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- Community
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- Technology
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- openSUSE
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- AI
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tags:
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- gsoc
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- gsoc2025
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- Community
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- Technology
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- ai
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- ml
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- multimodal
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- search
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- video
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- python
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2025
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Hello, openSUSE community! My name is Akash Kumar, and I was a Google Summer of Code (GSoC) 2025 mentee with the openSUSE organization. This summer, I had the incredible opportunity to contribute to the project titled **"Create open source sample microservice workload deployments and interfaces."** The goal was to build a functional, open-source workload that could provide relevant analytics for a specific use case.
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Hello, openSUSE community!
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My name is Akash Kumar, and I was a Google Summer of Code (GSoC) 2025 mentee with the openSUSE organization. This summer, I had the incredible opportunity to contribute to the project titled **"Create open source sample microservice workload deployments and interfaces."** The goal was to build a functional, open-source workload that could provide relevant analytics for a specific use case.
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For my project, I chose to tackle a common but complex problem: searching for content *inside* a video. This blog post details the outcome of my GSoC project: a full, end-to-end semantic video search engine.
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### The Problem: Beyond Keywords
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Ever tried to find a specific moment in a long video? You might remember the scene vividlya character gives a crucial speech, or there's a beautiful, silent shot of a landscapebut you can't remember the exact timestamp. You end up scrubbing back and forth, wasting minutes, or even hours.
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Ever tried to find a specific moment in a long video? You might remember the scene vividly - a character gives a crucial speech, or there's a beautiful, silent shot of a landscape - but you can't remember the exact timestamp. You end up scrubbing back and forth, wasting minutes, or even hours.
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Traditional video search relies on titles, descriptions, and manual tags. It’s limited. It can't tell you what's *inside* the video.
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I want to extend a huge thank you to my mentor, @bwgartner, and the entire openSUSE community for their support and guidance throughout the summer. Participating in GSoC with openSUSE has been an invaluable learning experience.
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The days of aimless scrubbing may soon be behind us. If you're interested in trying it out or contributing, you can find the entire project on GitHub: https://github.com/AkashKumar7902/video-seach-engine.
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The days of aimless scrubbing may soon be behind us. If you're interested in trying it out or contributing, you can find the entire project on GitHub: <https://github.com/AkashKumar7902/video-seach-engine>.
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