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<\/a>Podcasts are today one of the fastest-growing forms of digital content. Despite the richness of information they offer, their large-scale exploitation remains challenging, as they consist of unstructured audio that cannot be easily searched, analyzed, or filtered.<\/p>\nAs part of our recent research and technological work, we developed a fully automated system<\/strong> that transforms podcasts into structured, analyzable, and recommendation-ready content<\/strong>, leveraging state-of-the-art Artificial Intelligence technologies.<\/p>\n Our system is built on an end-to-end processing pipeline that:<\/p>\n converts audio into text through automatic speech recognition,<\/p>\n<\/li>\n processes and cleans the data,<\/p>\n<\/li>\n analyzes the text using NLP techniques to extract topics and key concepts, and<\/p>\n<\/li>\n recommends relevant content to users.<\/p>\n<\/li>\n<\/ul>\n The result is a collection of podcasts that can now be searched and organized based on their actual meaning, rather than just titles or tags.<\/p>\n This project is a clear example of how the combination of Data Engineering, Machine Learning, and NLP<\/strong> can deliver meaningful solutions to real-world problems. Rather than relying on isolated models, we designed an architecture that operates at scale and is capable of supporting production environments.<\/p>\n For organizations that manage large volumes of audio or multimedia content, solutions of this kind enable improved content discovery, enhanced user experience, and new opportunities for data-driven value creation.<\/p>\n The development of the system was carried out through close collaboration between a research team from the International Hellenic University<\/strong> and European School Radio<\/strong>, within the framework of the European Kids Radio Europe<\/strong> project, combining expertise in data analytics, artificial intelligence, and distributed systems. The outcome is not merely a research study, but a functional technological solution with clear practical and business value. The technology developed by our team is already in production on europeanschoolradio.eu<\/a> and youthradio.eu<\/a>.<\/p>\nFrom audio to written information<\/h5>\n
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Artificial Intelligence with real-world impact<\/h5>\n
A collaboration with tangible results<\/h5>\n