Challenge background
COVID-19 had a big impact on the mental health of people all around the world. In Australia, mental health issues have escalated. Some statistics from the government are here.
“The volume of mental health-related PBS prescriptions dispensed spiked in March 2020 when COVID-19 restrictions were first introduced, followed by a dip in April 2020.”
Now, with the lifting of the restrictions, we need to reassess the mental health space and normalize the conversations around this topic.
The problem
The objective is to scope out a better way to create habits for general well-being.
Goal of the project
Goals of the 4-week-long project:
- Identify mental health issues in the community.
- Build a chatbot for people to set up a routine - for sleep hygiene, grounding etc to recover.
- Set the project up for widespread adoption after vetting with experts.
- Form ties with local mental health organizations
Project timeline
- 1
Week 1
– User needs analysis
– Data collection
- 2
Week 2
– Exploratory Data Analysis(EDA)
– Habit analysis and relation with mental health
– Talk to experts on habit and mental health (relationship between them)
- 3
Week 3
– Start building a chatbot
– Start building Streamlit WebApp
- 4
Week 4
– Finish Integrating WebApp
– Deploy the App in Cloud Application Platforms
What you'll learn
1. Natural Language Processing
2. Domain Knowledge in Mental Health space
3. Prototyping ML solutions
4. Testing in ML
5. User needs analysis and testing