Areej Fatima
FAST
· 2017
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i17 - 0084
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Academic
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CGPA
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Year
2017
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Career
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Skills
Python, Flask, HTML, CSS, Google Colab, Pydub, Wav2Vec2
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
GoNotes is an R&D based project which generates precise notes from video lectures. It extracts the audio from video lectures, transcribes the text from audio, and then extracts accentuated regions using emphasis detection to generate precise notes. In emphasis detection, audio features such as frequency and amplitude are analyzed and the keywords from the text are extracted to choose important parts of the lecture.
Features:
● Transcription of the audio of a video lecture
● Generation of notes
● Extraction of keywords
● Finding key sentences
Highlighting important parts of the lecture transcription
Technology Used:
Python, Flask, HTML, CSS, Google Colab,
Pydub, Wav2Vec2
Supervisor Name:
Dr. Omer Beg
Group Members:
Sarah Ejaz (i17 - 0082)
Areej Fatima (i17 - 0084)
Sher Bano (i17 - 0104)
AI enrichment
Areej Fatima is a student who contributed to an R&D project named GoNotes, which generates precise notes from video lectures by extracting audio, transcribing text, and identifying key sentences. The project utilized Python, Flask, and various AI libraries for audio processing and emphasis detection.
Skills (AI)
["Python", "Flask", "HTML", "CSS", "Pydub", "Wav2Vec2", "Audio Processing", "Natural Language Processing", "Google Colab"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 213
Created: 1778170889