Advances and applications of large language models II
In today's fast-paced business environment, efficient meeting documentation is crucial. However, manual transcription and minute-taking can be time-consuming and error-prone. This project developed a python web application – Convo2Calendar , that can convert meeting audio recordings into format...
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Nanyang Technological University
2024
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sg-ntu-dr.10356-1772042024-05-31T15:43:42Z Advances and applications of large language models II Ng, Qi Xuan Tan Yap Peng School of Electrical and Electronic Engineering EYPTan@ntu.edu.sg Engineering Large language models Automatic speech recognition Python Streamlit Chatbot In today's fast-paced business environment, efficient meeting documentation is crucial. However, manual transcription and minute-taking can be time-consuming and error-prone. This project developed a python web application – Convo2Calendar , that can convert meeting audio recordings into formatted meeting notes, provide meeting analytics and allow users to chat with their documents. The Streamlit demo walkthrough is available at https://youtu.be/rrsmBsllBaE. This project leverages advanced Large Language Models (LLMs), renowned for their capabilities in complex natural language processing (NLP) tasks. By integrating LLMs with other libraries, Convo2Calendar functions as a comprehensive 5-in-1 virtual meeting minute writer, including a bias-free transcription and a user-friendly 24/7 Q&A service. Bachelor's degree 2024-05-27T02:14:29Z 2024-05-27T02:14:29Z 2024 Final Year Project (FYP) Ng, Q. X. (2024). Advances and applications of large language models II. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177204 https://hdl.handle.net/10356/177204 en A3199-231 application/pdf Nanyang Technological University |
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Engineering Large language models Automatic speech recognition Python Streamlit Chatbot Ng, Qi Xuan Advances and applications of large language models II |
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In today's fast-paced business environment, efficient meeting documentation is crucial. However, manual transcription and minute-taking can be time-consuming and error-prone. This project developed a python web application – Convo2Calendar , that can convert meeting audio recordings into formatted meeting notes, provide meeting analytics and allow users to chat with their documents. The Streamlit demo walkthrough is available at https://youtu.be/rrsmBsllBaE.
This project leverages advanced Large Language Models (LLMs), renowned for their capabilities in complex natural language processing (NLP) tasks. By integrating LLMs with other libraries, Convo2Calendar functions as a comprehensive 5-in-1 virtual meeting minute writer, including a bias-free transcription and a user-friendly 24/7 Q&A service. |
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Tan Yap Peng |
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Tan Yap Peng Ng, Qi Xuan |
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Final Year Project |
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Ng, Qi Xuan |
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Ng, Qi Xuan |
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Advances and applications of large language models II |
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Advances and applications of large language models II |
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Advances and applications of large language models II |
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Advances and applications of large language models II |
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Advances and applications of large language models II |
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advances and applications of large language models ii |
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Nanyang Technological University |
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2024 |
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https://hdl.handle.net/10356/177204 |
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