Automated Email Event Extractor and Organizer

Organization
Mobile & Cloud Computing Laboratory
Abstract
This project involves creating a web application that automatically scans incoming emails to extract and display events information. You might use Microsoft Graph API and other Microsoft services. The application will be registered in Azure AD with appropriate permissions to read emails. The backend can be built using Python's Flask framework (you are free to choose others), with authentication handled by the Microsoft Authentication Library (MSAL) to ensure secure access to email data. The application parses emails (or uses LLM/ChatGPT API) to identify event details such as names, times, and locations and presents this information on a simple, user-friendly web page.
Graduation Theses defence year
2024-2025
Supervisor
Chinmaya Kumar Dehury
Spoken language (s)
English
Requirements for candidates
more info: https://docs.google.com/document/d/14SPgOTF6f8nw8bpxl-3RMbDxwELranK1_bYBK2jzoy8/edit?usp=sharing
Level
Bachelor
Keywords
#email, #ChatGPT, #webapp, #event

Application of contact

 
Name
Chinmaya Kumar Dehury
Phone
E-mail
chinmaya.dehury@ut.ee
See more
https://docs.google.com/document/d/14SPgOTF6f8nw8bpxl-3RMbDxwELranK1_bYBK2jzoy8/edit?usp=sharing