Safwan Nabeel

After KAUST Academy

Safwan works at BestCircle AI. Safwan's paper TWASEL on sign language recognition was published in the CVPR 2026 Workshops, and a second paper on privacy-preserving action recognition was accepted to ACCV 2026.

Summer project

Artificial Intelligence Specialization · Cohort 2025

Real-Time Video Understanding via Captioning and LLM-Based Scene Summarization

This project presents a real-time video interpretation system that captures live camera feeds, detects objects using YOLO, and generates natural language captions for key frames using multimodal models. These frame-wise captions are then aggregated and summarized every minute using large language models (LLMs), such as Cohere’s command-r-plus, to produce a concise human-like scene description. The pipeline includes intelligent object detection, caption refinement, class-based statistics, and prompt-engineered summarization to transform raw video into structured and meaningful summaries, enabling downstream applications in surveillance, content moderation, and assistive technologies

Mentor: Salman Khan

Read the final report (PDF)

See it in the program report (PDF)

With KAUST Academy

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