This is a part of my dissertation, a high-fidelity prototype of my app idea. It focuses on 2 features most voted by participants:
- Transcriber
- Highlighted keywords (highlights keywords to help users summarise their journal & is used to search for relevant wellbeing articles)
My app idea was to create a cross platform app which allows users to better express their emotions, avoiding the consequences from suppressed and repressed emotions. Users essentially use the app as an audio journal. The journals are then analysed to recommend relevant wellbeing articles to the user.
Want more detail? Check out my dissertation poster.
Design a user-centred audio journal app which recommends related wellbeing and mental health articles.
Check them out here along with my wireframes, improved designs, and other work
- experiments: Used Python to convert a csv library of mental health keywords into Flutter code for highlight function
- lib: Main files I modified to get the app working
- You'll have to enable mic permissions in the VM
- Then go into Chrome and search using the Mic, this will prompt a mic permissions different to the previous step. Once you get that working, mic is set!
- Go into the app, mic should be A-OK