Text Summariser is for those who would benefit from receiving a concise summary of a meeting. This would be useful for both attendees and absentees of a meeting. Text Summariser was done to increase productivity and save time through communicating the necessary points of a meeting easily without having to read entire minutes.
The Text Summariser uses Microsoft's Power Automate to follow a flow that would take a recording a meeting, use Azure Video Analyzer's speech to text software to transcribe what was said into a document and then have that document summarised by Glove, a Natural language processing API.
The summarised minutes are then sent automatically to the necessary parties via email.
Python, Jupyter, Microsoft Power Automate, Azure Video Analyzer
6 months experience working as an IT intern assisting in the automation of day-to-day processes. Three years’ experience working part-time at Tesco while studying full time.
Skilled in Java, HTML, CSS, JavaScript and jQuery. Experienced in using IDEs NetBeans, Adobe Photoshop, Adobe Animate and Android Studio. Currently learning R,Python, Excel and SPSS.
Strong work ethic and capable in both team and individual settings.
Seeking graduate opportunities in IT.