The primary objective of this project is to process full-length videos showcasing a variety of sporting events, with an initial focus on fencing. The aim is to intelligently identify and remove segments that do not feature actual in-game action, such as setup procedures, discussions, and commercial breaks. This video trimmer will enhance the viewing experience by providing concise and action-packed content, allowing viewers to enjoy the core sporting moments without distractions. By automating the removal of non-action components, this project not only saves time but also offers a more engaging and streamlined way to relish the excitement of sports events. It represents an innovative solution to curate sports content, ensuring that viewers can quickly access the most thrilling and pivotal moments while eliminating unnecessary interruptions.

We've designed an innovative AI-driven training platform known as WELEARN. This cutting-edge system has the remarkable capability to automatically assess the strengths and weaknesses of each trainee and then personalize their learning journey accordingly. Beyond just enhancing learning efficiency, the application also ensures the integrity of exams by employing facial recognition technology, allowing for secure and fully remote certification processes. WELEARN has already witnessed success in training its initial cohort of 200 graduates, paving the way for them to secure employment within the IT industry. Recognizing the pressing need for a robust E-Learning tool, the Ministry of Information Communication and Technology (ICT) in Bangladesh embarked on a mission to train 20,000 individuals by 2025, equipping them with the skills needed to excel in the BPO sector. In collaboration with Telesto and GHIT, we have created an interactive learning platform that empowers trainees to access resources remotely, even from areas far removed, and acquire the essential skill set required for their professional journey.