Logo de Olindias

07 This PROJET PFE

Olindias

StageHybride3 à 6 moisDate limite : 28 nov. 2025
Computer Vision / AInatural language processingTime Series Modeling & Machine Learning

Postuler

Description

Project Objective:

  • Develop a Multimodal AI system that automatically generates advanced semantic metadata for videos.
  • Achieve deep contextual understanding by analyzing visuals, audio (speech-to-text), speaker intent, and on-screen text rather than simple keyword extraction.

Primary Responsibilities / Tasks:

  • Build a multimodal pipeline combining vision, audio, and text modalities, including synchronization of frames and transcripts.
  • Extract semantic embeddings from speech, captions, and visual frames and fuse them for downstream tasks.
  • Implement scene segmentation, topic detection, sentiment analysis, and speaker intent analysis to produce rich annotations.
  • Generate structured metadata outputs such as tags, concepts, categories, timestamps, and summary descriptors.
  • Integrate metadata outputs into a search & recommendation engine (indexing, retrieval relevance, ranking signals).
  • Optimize the system for speed, relevance, and cross-language understanding (performance, latency, and multilingual embeddings).

Expected Outcome / Deliverables:

  • A fully functional MVP capable of generating rich, meaningful metadata for arbitrary video inputs.
  • Demonstrations and evaluation results showing scene segmentation quality, topic detection accuracy, embedding alignment across modalities, and end-to-end search/recommendation improvements.

Skills & Technologies Required:

  • Strong background in AI/ML, deep learning, and multimodal architectures (vision + audio + text).
  • Experience with NLP, speech-to-text systems, computer vision, embeddings, and video processing.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with practical concerns: model optimization, batching, GPU/CPU performance, and cross-language/multilingual models.

How to Apply:

  • Send your application specific to this project to the recruiting contact below, including CV, short motivation, and relevant project/portfolio links.
  • Email: career@olindias.com (use the subject specified below when applying).