Talha Mujahid
FAST
· 2021
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i16-0179
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Year
2021
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Skills
TensorFlow, React, Node.JS, Flask, Neural nets, Natural Language Processing, Automatic Speech Recognition, Language Model, Urdu text to English text translation
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.
Automatic Speech Recognition System to Generate CV SpeakCV, is an automatic CV generating system for native Urdu speakers that uses speaker’s voice information as input and generates a professional CV using Neural nets and Natural Language Processing Techniques. The user will answer a few questions in Urdu and user’s speech data will be recorded in phone. The data is then pre-processed and sent to a speaker independent ASR for speech recognition. Once speech is recognized, it is then corrected using Language Model. The corrected transcript is then translated to English. Once translation is done, our system will extract CV specific data and display it on a professional CV template Main Features include: • Automatic Urdu speech recognition (ASR) from live audio input • Transcript correction using Language Model • Urdu text to English text translation • Identification of CV specific keywords from translated text • CV generation from identified Key Words Technology Used: TensorFlow, React, Node.JS, Flask Supervisor Name: Mr. Umair Arshad Group Members: Hamza Ali (i15- 0083) Talha Mujahid (i16- 0179) Alina Baig (i17- 0327)
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 195
Created: 1778223766