Authors : Dhyan Kumar M

Volume/Issue : Volume 10 - 2025, Issue 6 - June

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Google Scholar : https://tinyurl.com/2aryjcvs

DOI : https://doi.org/10.38124/ijisrt/25jun1312

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Abstract : This paper introduces an AI-powered Voice-Based Revision Assistant designed to enhance the effectiveness of self-study for students. The application allows users to select their own PDF notes and engage in a voice-driven interaction where they can ask and answer questions in their natural speaking style. The AI compares the user's spoken answers with the relevant content extracted from the PDF to identify missing keywords and provides immediate, personalized feedback. Moreover, the app offers simplified explanations or full correct answers upon request, making the learning process more interactive, personalized, and efficient.

Keywords : Voice Recognition, PDF Analysis, AI Revision Assistant, Keyword Extraction, Speech Feedback, Self-Learning, Python, Educational Technology.

References :

1. Python SpeechRecognition Library Documentation
2. PyPDF2 Library Documentation
3. Pyttsx3 Library Documentation
4. Tkinter GUI Programming in Python