GRENZE International Journal of Engineering and Technology
Authors:
Harsh Mohit, K Chaitanya, Maneesh Kumar, Kushal B, A H Shanthakumara
Volume:
10
Issue:
2
Grenze ID:
01.GIJET.10.2.605
Pages:
1563-1568
Abstract
The “Automated DSM Insight Analyzer” is a groundbreaking initiative that
revolutionizes the analysis of Daily Stand-Up Meetings (DSMs). Leveraging a sophisticated
combination of cutting-edge technologies, including a Flask-based API for audio processing,
Azure Speech-to-Text for precise transcription, and the GPT API for advanced Natural
Language Processing (NLP), this solution provides comprehensive insights. It addresses
challenges in resource management and bug tracking, ensuring the prompt generation of
actionable insights. With multilingual support and seamless integration with Google Calendars,
it enhances productivity, offering a user-friendly platform that fosters improved collaboration
and project success through the extraction of valuable insights from daily meetings.