Analysis and Structure of Check-in Data
Project scope
Categories
Data analysisSkills
trend analysis algorithms self-awareness research machine learningAbout CheckingIn:
CheckingIn is a self awareness app that is empowering people to enhance their mental well being through a daily mindful check in.
Users tune into their energy levels and emotions and subsequently provided with a reflection question to help them to reflect on their daily lives. We are building a community of people that believe in pausing and taking a moment to look inside themselves in order to understand the underlying emotions/behavioural sources of those feelings. In time, we present them with trends and insights into their patterns and behaviours allowing them to learn more about themselves.
The project will consist of two phases:
Phase I: To cleanse and organize the data. At this point we have significant data from over 21,000 check ins and several reflection entries to help with the research.
Phase II: Build meaningful and insightful trend analysis of the data at an individual level.
Phase III: To make recommendations and considerations for additional contextual data we could capture to present more useful correlating insights for users. To design basic algorithms for introductory ML to be applied.
About the company
A mental health and wellbeing platform for companies.