Eskola faced the challenge of organizing over 13,000 educational videos lacking proper classification by subject and academic year. Without accurate video metadata and video tagging, students and educators struggled to find relevant learning content efficiently. The unstructured video library limited usability and engagement.
Manual video classification was impractical due to volume, and the lack of effective video search functionality made finding videos time-consuming. Eskola needed an AI-driven video management solution to automate video transcription, content analysis, and classification by subject and year. The goal was to improve video discoverability, enhance educational resource accessibility, and support better digital learning experience
Used AI transcription to convert videos to text.
Automated subject and year classification with curriculum mapping.
Created video summaries and titles.
Enabled keyword search across all videos.
Built a scalable, cloud-based platform for easy video management.
Our AI-driven solution leveraged cutting-edge natural language processing (NLP) and advanced machine learning algorithms to efficiently transform Eskola’s vast and previously unstructured video library into a fully searchable, well-categorized, and highly user-friendly digital resource. By automating the transcription, subject identification, and academic year classification processes, the platform significantly enhanced the accessibility and usability of over 13,000 educational videos. This transformation empowers both students and educators to quickly and accurately locate relevant lessons, tailored to specific subjects and academic levels, ultimately improving the overall learning experience and supporting more effective educational outcomes.
Our AI-driven video classification system transforms vast educational content into an accessible, searchable resource, empowering students and educators to find exactly what they need quickly and efficiently.
Matthew Galea - Managing Director
The AI-powered video classification and search system delivered substantial improvements in how Eskola manages and presents its educational content. By automating metadata generation and enabling precise keyword search, the platform dramatically increased the discoverability of educational videos, allowing users to find relevant content faster and more efficiently. This led to higher user engagement, better resource utilization, and improved support for students and educators seeking tailored digital learning materials. Additionally, the scalable solution positioned Eskola to easily manage future content growth without compromising accessibility or search performance.
Improved video classification accuracy and consistency
Enabled fast, precise AI-powered video search
Increased user engagement and platform usability
Enhanced access to subject-specific and year-specific educational content
Scalable solution for ongoing video content management
