Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Ahmad Shahzad (SP20-BSE-023)"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    IntelliLearn: An AI-driven learning hub
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) Ahmad Shahzad (SP20-BSE-023); Hasham Ahmad (SP20-BSE-007); Dr. Tariq Umer
    In the modern world of evolving education, IntelliLearn emerges as the modern and groundbreaking solution specifically tailor made to end the monopoly of selling past papers and helping notes. The vision is attached to AI Based learning assistance platform seeking the betterment of students and helping them in learning process in a very user-friendly way with customizable and collaborative learning. The core of the Intellilearn is to empower the students with their self learning and optimize their learning curve in an efficient and economical manner. THe traditional ways of learning from past papers or books and highlighting keywords has been the backbone of our educational methods. IntelliLearn uses the power of OCR (Optical Character Recognition) and NLP (Natural Language Programming) model technologies used for highlighting keywords and Question Generation with the help of AI based on those keywords and keypoints. This will result in transcending the boundaries of conventional reading and demonopolize the selling of past papers. This will result in broadening the boundaries of conventional reading and demonopolize the selling of past papers. Key features of Intellilearn will be user friendly design and digitization, AI-driven content highlighting and question generation, collaborative learning environment and history tracking. A student will be able to track their learning progress and customize their study sessions with the personalized learning and history tracking feature. Intellilearn will adapt to individual learning styles and will offer personalization according to students to help with their educational needs. Traditional learning methodologies have several drawdowns, lesser and incomplete availability of information and relying too much on a single textbook and academic resources. "Intellilearn," an AI-powered learning support tool, addresses these challenges by providing solutions that help students succeed in their academic goals

DSpace software copyright © 2002-2026 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify