Auto-Stories for Social: From Long-Form to 9:16
Lo scopo principale è creare un generatore di “Stories2 verticali a partire da contenuti long\-form (talk, sport, news).
La pipeline comprende: trascrizione, segmentazione in scene, riassunto e copy/CTA con IA generativa, montaggio automatico con template grafici (titoli, sottotitoli, bumper) e export in 9:16/1:1\.
Previste guardrail di brand\-safety e un piccolo cruscotto per l’editor human\-in\-the\-loop.
Argomento principale: Data Science, Scene detection, Summarization, Rendering (FFmpeg/Remotion).
Corso di studio e requisiti candidati: Informatica, Ingegneria Informatica. JS/Python, basi di video processing; gradite competenze React.js.
Sede tirocinio: Napoli e Milano.
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The main goal is to create a generator of vertical "Stories" from long\-form content (talks, sports, news).
The pipeline includes: transcription, scene segmentation, summarisation and copy/CTA generation with Generative AI, automatic editing with graphic templates (titles, subtitles, bumpers), and export to 9:16/1:1\.
Brand\-safety guardrails and a small dashboard for the human\-in\-the\-loop editor are expected.
Main Topic: Data Science, Scene detection, Summarisation, Rendering (FFmpeg/Remotion).
Course of Study and Candidate Requirements: Computer Science or Computer Engineering. JS/Python, basics of video processing; React.js skills are a plus.
Internship Location: Naples and Milan.
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