Hi FFmpeg Development Community,

My name is Mujtaba Shah, and I am a final-year Computer Science student. I
am writing to propose a custom GSoC 2026 project focused on expanding
FFmpeg’s machine learning capabilities, specifically by introducing an
AI-powered video evaluation filter within libavfilter.

*The Concept:* While FFmpeg has made great strides with its DNN module and
the modernized LibTorch backend, there is a growing demand for local,
privacy-respecting video analysis. My proposal is to build a filter that
integrates offline, local vision models directly into the FFmpeg pipeline.
This would allow users to perform automated video evaluations—such as frame
tagging, scene detection, or metadata extraction—entirely from the command
line without relying on external API calls.

*Proposed Scope of Work:*

   -

   Extend the existing DNN backend infrastructure to support a broader
   range of localized AI vision models for direct video evaluation.
   -

   Implement a new filter within libavfilter designed specifically for
   automated visual analysis and tagging of video streams.
   -

   Develop a robust FATE test suite to ensure the filter’s stability and
   accuracy across different environments.
   -

   Ensure seamless, zero-copy interactions where possible to maintain high
   throughput and low CPU-GPU latency.

*Why I Am a Good Fit:* I have a strong background in AI, machine learning,
and systems architecture. In my recent work, I have built specialized
pipelines for the automated AI evaluation of video submissions and have
hands-on experience configuring and deploying completely offline,
uncensored AI models. This practical experience aligns perfectly with the
goal of bringing robust, localized machine learning analysis directly into
FFmpeg’s media processing workflows.

*Next Steps & Qualification:* I understand that proposing a custom project
requires finding a dedicated mentor. I would love to hear your thoughts on
this idea's feasibility and whether anyone in the community would be
interested in mentoring this effort.

In the meantime, to demonstrate my familiarity with the codebase and build
systems, I am currently looking into the "Improving Fate (self tests)
coverage" tasks as my qualification requirement.

Thank you for your time and for maintaining such an incredible project. I
look forward to your feedback!

Best regards,

Mujtaba Shah
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