Implemented an Azure-native AI platform to process, transcribe, and analyse large volumes of educational video content, enabling intelligent search, improved accessibility, and scalable digital learning experiences.
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The challenge
The organisation needed to support thousands of schools, educators, and millions of students while managing a rapidly growing library of video content exceeding terabytes in scale. Educational materials were not easily searchable, limiting accessibility and reuse. Manual processes for transcription and indexing were inefficient, making it difficult to deliver content in a timely and structured way across diverse learning environments.
The approach
Designed and implemented a cloud-based AI platform leveraging Microsoft Azure, combining computer vision, machine learning, and speech-to-text capabilities to automate video ingestion, transcription, and analysis. The solution enabled large-scale storage and processing of audiovisual content, while data visualisation layers provided insights into content usage and engagement. Azure-native services ensured scalability, performance, and efficient management of large datasets, supporting multilingual access and intelligent content discovery.
The outcome
Delivered a scalable video analytics platform that significantly improved content accessibility and engagement across the education ecosystem. The solution enabled intelligent search through transcribed and indexed content, enhanced inclusivity with multilingual support, and optimised storage and operational costs. It also provided actionable insights into student behaviour and content usage, supporting digital transformation across the public education network.
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