Amine Samet

Job Recommendation System -Managed and scheduled job scraping from various platforms, efficiently handling data processing tasks. -Utilized YOLOv8 to detect different sections in CVs and applied OCR to extract relevant skills from uploaded CVs. -Developed a recommendation engine to provide personalized job suggestions tailored to user skills. -Ranked each candidate using a pre-trained model from Hugging Face and automated the process of sending recruitment emails. -Designed an interactive dashboard for real-time insights and analysis of job market trends.

Video Summarization System for Football Matches -Developed an automated system to generate concise summaries of football matches by identifying key events such as goals, yellow cards, red cards, and substitutions. -Leveraged Roboflow for effective data collection and preparation, facilitating the training of machine learning models. -Employed computer vision techniques using YOLO (You Only Look Once) to analyze video footage, enabling the detection of significant events and player tracking. -Integrated Optical Character Recognition (OCR) to extract important textual information from images, including scores, player names, and relevant keywords like "substitution," "goals," "red cards," and "yellow cards."