Caption With Intention Automated

FRONTEND V2 i think its looking fine. AI helped in some part of this UI

Made the UI layout. Will be redesigning it later for UI v2 now just focussing on backend and functionality

Got the diarization and word level transcription to work. The custom diarization model is not that accurate but can be improved later

Deterministic CI Renderer is done. read-ahead layer, word-onset color sync, pop animation, type size/pitch/harmonics mapping,
90% black caption box, lower 20% work area, SFX/music rules, exception profiles. 256/256
tests passing.

The architecture diagram shows the full pipeline from source video then CwiRenderer → sync
engine → ASS export → FFmpeg burn-in.

Guys pls help ,, How will i get this stardust points ? Guys i am new in this. Spent over 18 plus hours still didnt get a single stardust.

Made my own Speaker diarization algorithm bcs the current one needs more resources. 4gb ram to 512mb ram.

So created the whole project, tried different transcription models that should run offline and be accurate. Created the full pipeline and architecture. Thought of optimization and continuing along with the help of some yk

#Working on Caption with intention system to make it automated and come to life. iykyk. Its an oscar winning system

Just started working on it! Making a oscar winning system automated.