Multilingual Personalized Vocational Training Using Recommendation Intelligence for Youth Empowerment
Multilingual Personalized Vocational Training Using Recommendation Intelligence for Youth Empowerment is a project that reimagines how skill development can be delivered to young learners across diverse cultural and linguistic backgrounds. In many regions, especially where resources are scarce, vocational training is still restricted by language barriers, outdated content, and rigid, one-size-fits-all teaching methods. This project directly tackles those limitations by building a platform that adapts to each learner. Using multilingual support in Urdu and English, the system makes high-quality vocational training accessible to students who might otherwise be excluded, preparing them with practical skills for employability.
The proposed system includes an intelligent recommendation engine that creates personalized learning pathways. Instead of presenting the same modules to every student, the system actively learns from each individual’s background, prior knowledge, language preferences, and engagement style. By combining learner profiling and collaborative filtering, the platform suggests the right content at the right time, whether that’s a step-by-step tutorial, a microlearning module, or an adaptive quiz. To strengthen inclusivity, the project also curates bilingual vocational materials originally in German, translating and localizing them into Urdu and English. This approach not only ensures cultural and linguistic relevance but also makes previously inaccessible resources usable for learners in underrepresented communities.
Beyond being a technical prototype, the project is designed with real-world impact in mind. Its adaptive architecture means that as learners progress, the system automatically adjusts difficulty, pacing, and even content format (text, audio, video) to fit their needs. The result is a dynamic and empowering experience that helps learners stay engaged and retain skills more effectively. By aligning training modules with national vocational standards (TEVTA & NAVTTC) and incorporating industry-relevant updates like hybrid and electric vehicle repair, the platform equips students with knowledge that matches labor market demands. More importantly, it levels the playing field, giving marginalized youth an equal opportunity to acquire skills and pursue livelihoods, while also opening new avenues for research into human-centered AI and the future of personalized learning technologies.
Faculty
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Dr. Muhammad Moazam FrazDr. Muhammad Moazam Fraz
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Dr. Junaid YounasDr. Junaid Younas
Students
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Isra Mansoor
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Muhammad Abdullah