Research Article
Open Access
MinuteMaster: An AI-Powered Meeting Transcription and Scheduling System
1
Mahatma Gandhi Institute of Technology, Gandipet, Hyderabad, Telangana 500075, India
* Corresponding Author:
Barnali Gupta Banik,
[email protected]
Volume 2, Issue 3
2026
Received: 11 April 2026
Revised: 11 May 2026
Accepted: 15 June 2026
Published: 25 August 2026
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CC BY 4.0 License
Article Information
Published in
Next-Generation Computing Systems and Technologies
Volume/Issue
Volume 2, Issue 3, 2026
Pages
70-75
Abstract
Taking notes during meetings sounds easy, but in reality, people often miss key points—especially when multiple people are talking. Managing follow-ups in separate apps only adds to the hassle. MinuteMaster was built to simplify this. It's a web app that brings transcription, speaker identification, summarization, and scheduling into one place. It uses Whisper for multilingual speech-to-text, pyannote.audio to identify who's speaking, and BART to turn long transcripts into clear, short summaries. A built-in calendar helps users manage meetings without switching apps. We tested it on 30 recordings across English, Hindi, Telugu, Tamil, and mixed languages. Transcription accuracy ranged from 76\% to 88\%, and summaries performed better than TextRank with a ROUGE-1 score of 0.48. In a study with 42 users, it received an average rating of 4.25/5. The system runs on Flask with MongoDB, making it simple to deploy and scale.
Graphical Abstract
Keywords
AI transcription
BART summarization
meeting automation
natural language processing
speaker diarization
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
AI Use Statement
The authors declare that Perplexity AI was used to assist with language polishing and grammar checking of the manuscript. The authors have carefully reviewed, revised, and verified all AI-assisted output and take full responsibility for the accuracy and integrity of the content.
Ethical Approval and Consent to Participate
This study involved human participants in a software usability evaluation. As the study posed no greater than minimal risk and involved only voluntary interaction with a software prototype, it was determined to be exempt from full ethics review under the institutional guidelines of Mahatma Gandhi Institute of Technology, Hyderabad. All participants were informed of the study's purpose and provided verbal informed consent prior to participation. Participation was voluntary, and all response data were anonymized before analysis.
References
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APA Style
Banik, B. G., Yukitha, P., Venna, C. S, & Tulasi, P. M. (2026). MinuteMaster: An AI-Powered Meeting Transcription and Scheduling System. Next-Generation Computing Systems and Technologies, 2(3), 70-75. https://doi.org/10.62762/NGCST.2026.350184
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TY - JOUR AU - Banik, Barnali Gupta AU - Yukitha, Pampari AU - Venna, Charan Sai AU - Tulasi, Puppala Mangala PY - 2026 DA - 2026/08/25 TI - MinuteMaster: An AI-Powered Meeting Transcription and Scheduling System JO - Next-Generation Computing Systems and Technologies T2 - Next-Generation Computing Systems and Technologies JF - Next-Generation Computing Systems and Technologies VL - 2 IS - 3 SP - 70 EP - 75 DO - 10.62762/NGCST.2026.350184 UR - https://www.icck.org/article/abs/NGCST.2026.350184 KW - AI transcription KW - BART summarization KW - meeting automation KW - natural language processing KW - speaker diarization AB - Taking notes during meetings sounds easy, but in reality, people often miss key points—especially when multiple people are talking. Managing follow-ups in separate apps only adds to the hassle. MinuteMaster was built to simplify this. It's a web app that brings transcription, speaker identification, summarization, and scheduling into one place. It uses Whisper for multilingual speech-to-text, pyannote.audio to identify who's speaking, and BART to turn long transcripts into clear, short summaries. A built-in calendar helps users manage meetings without switching apps. We tested it on 30 recordings across English, Hindi, Telugu, Tamil, and mixed languages. Transcription accuracy ranged from 76\% to 88\%, and summaries performed better than TextRank with a ROUGE-1 score of 0.48. In a study with 42 users, it received an average rating of 4.25/5. The system runs on Flask with MongoDB, making it simple to deploy and scale. SN - 3070-3328 PB - Institute of Central Computation and Knowledge LA - English ER -
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@article{Banik2026MinuteMast,
author = {Barnali Gupta Banik and Pampari Yukitha and Charan Sai Venna and Puppala Mangala Tulasi},
title = {MinuteMaster: An AI-Powered Meeting Transcription and Scheduling System},
journal = {Next-Generation Computing Systems and Technologies},
year = {2026},
volume = {2},
number = {3},
pages = {70-75},
doi = {10.62762/NGCST.2026.350184},
url = {https://www.icck.org/article/abs/NGCST.2026.350184},
abstract = {Taking notes during meetings sounds easy, but in reality, people often miss key points—especially when multiple people are talking. Managing follow-ups in separate apps only adds to the hassle. MinuteMaster was built to simplify this. It's a web app that brings transcription, speaker identification, summarization, and scheduling into one place. It uses Whisper for multilingual speech-to-text, pyannote.audio to identify who's speaking, and BART to turn long transcripts into clear, short summaries. A built-in calendar helps users manage meetings without switching apps. We tested it on 30 recordings across English, Hindi, Telugu, Tamil, and mixed languages. Transcription accuracy ranged from 76\\% to 88\\%, and summaries performed better than TextRank with a ROUGE-1 score of 0.48. In a study with 42 users, it received an average rating of 4.25/5. The system runs on Flask with MongoDB, making it simple to deploy and scale.},
keywords = {AI transcription, BART summarization, meeting automation, natural language processing, speaker diarization},
issn = {3070-3328},
publisher = {Institute of Central Computation and Knowledge}
}
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