LingoAid – AI Based Language Aid for Migrants and Refugees
| dc.contributor.advisor | Worwood, Angie | |
| dc.contributor.author | Alsuwayyid, Faisal | |
| dc.date.accessioned | 2025-11-09T11:42:00Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | This report explores LingoAid, an AI-powered, trauma-informed language learning platform created to address the linguistic barriers that hinder migrants and refugees from accessing essential services and integrating into host societies. With over 123 million people displaced globally in 2024, including 42 million refugees, language proficiency has become a critical determinant of social inclusion, employment, education, and healthcare outcomes. Existing language learning technologies, such as Duolingo and Mondly, are not designed for displaced populations as they assume stable internet connectivity, literacy, and safe learning environments. LingoAid responds to this gap by offering affordable, adaptive, and contextually relevant language learning through artificial intelligence (AI), natural language processing (NLP), and mobile innovation. The platform’s key features—trauma-informed content, offline accessibility, speech recognition, and culturally contextualised learning—provide a practical and inclusive educational experience tailored to real-life scenarios. The business model employs a hybrid structure combining freemium access, institutional subscriptions, sponsorships, and grants to ensure accessibility and financial sustainability. Initial funding of £150,000–200,000 will support product development and NGO-based pilots, with breakeven anticipated by Year 3. By Year 5, LingoAid aims to reach 4–5 million users, generating annual revenues exceeding £3 million and achieving EBITDA margins of 20–25%. This project demonstrates the potential for socially responsible entrepreneurship to merge humanitarian objectives with technological innovation. By aligning with the United Nations Sustainable Development Goals (SDGs 4 and 10), LingoAid redefines digital language learning as a pathway to dignity, empowerment, and sustainable integration for displaced communities worldwide. | |
| dc.format.extent | 55 | |
| dc.identifier.citation | Alqahtani, Nizar. (2025). A Comparative Analysis of the United States, China, and Saudi Arabia: Evaluating Cyber Deterrence Strategy at a State Level. University of Aberdeen. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14154/76915 | |
| dc.language.iso | en | |
| dc.publisher | Saudi Digital Library | |
| dc.subject | Artificial Intelligence (AI) | |
| dc.subject | Natural Language Processing (NLP) | |
| dc.subject | Educational Technology (EdTech) | |
| dc.subject | Social Entrepreneurship | |
| dc.title | LingoAid – AI Based Language Aid for Migrants and Refugees | |
| dc.title.alternative | A Comparative Analysis of the United States, China, and Saudi Arabia | |
| dc.type | Thesis | |
| sdl.degree.department | Business and Law | |
| sdl.degree.discipline | Business and management | |
| sdl.degree.grantor | De Montfort University | |
| sdl.degree.name | Master of Administration |
