Short Description:
What patterns can you discover in messaging behavior using only WhatsApp metadata like timestamps, message lengths and sender pseudonyms? We have built a platform, on which people donate their de-identified messaging data. As a thank-you, they receive visualizations of their texting behavior, such as how fast they reply or how much they write in different chats. In this project, you will develop further interactive and insightful visualizations to help people explore their voice messages, public posts and more.
Required skills (e.g. mandatory courses, if required)
TypeScript and Node.js
In case the proposal would not attract enough students for a team project, I'd adapt it into (please mark applicable options with ‘x’)
[x] an individual project
[x] a project for two students (tandem project)
Frequency | Weekday | Time | Format / Place | Period | |
---|---|---|---|---|---|
by appointment | n.V. | 07.04.-18.07.2025 |
Module | Course | Requirements | |
---|---|---|---|
39-M-Inf-P_ver1 Projekt | Projekt | Ungraded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.