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SmartTutor: Ensuring User Privacy in Distance Education with AI-Driven Tutoring and Multilingual Knowledge Retrieval

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  • Tanzeela Nisa

    (Institute of Information Technology (IIT), Quaid-I-Azam University (QAU), Islamabad, Pakistan)

Abstract

Today, in this digital era, getting access to all such information is essential for education and learning. Indeed, most of the existing content is useful if utilized appropriately or in conjunction with developed solutions, nevertheless, people from developing areas may have a tough time understanding because the available information is not organized in one place or lacks clear and structured content. SmartTutor is a web application built to address these challenges and we believe that information access should be updated by modern technology based on it. SmartTutor —which is brainstormed as a knowledge assistant integrates with Google Gemini AI and Wikipedia API to deliver content on various topics in the most beautiful, feasible manner. It also includes real-time translation built on top of Google Translate, so the geographical areas and even language are not a barrier anymore. SmartTutor also features text-to-speech in multiple accents across English and enables users to listen in their preferred accent as well as alternative visualized data for different learning types. Through centralization of scattered information, language accessibility improved and ensured safety, this promotes digital literacy enabling access also to information-disadvantaged people. The intuitive design and custom features of SmartTutor offer an ideal resource for users from all walks of life who want to easily connect with available offers to help grow digital knowledge.

Suggested Citation

  • Tanzeela Nisa, 2024. "SmartTutor: Ensuring User Privacy in Distance Education with AI-Driven Tutoring and Multilingual Knowledge Retrieval," International Journal of Innovations in Science & Technology, 50sea, vol. 6(7), pages 158-171, October.
    • Handle: RePEc:abq:ijist1:v:6:y:2024:i:7:p:158-171
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    References listed on IDEAS

    as
    1. John M. Abowd & Ian M. Schmutte, 2019. "An Economic Analysis of Privacy Protection and Statistical Accuracy as Social Choices," American Economic Review, American Economic Association, vol. 109(1), pages 171-202, January.
    2. Firuz Kamalov & David Santandreu Calonge & Ikhlaas Gurrib, 2023. "New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution," Sustainability, MDPI, vol. 15(16), pages 1-27, August.
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