Analysis and Structure of Check-in Data

About 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.

Data Analysis and Machine Learning

We are looking for research-driven students, who can analyze our users data set in order to help us build customer-impacting features that require relatively straight-forward models. The project will consist of two deliverables: Phase I: To utilize the 22,000 check ins and several reflection entries to find different customer trends and insights that we may be able to provide back to the user to learn something about their underlying behavioural trends. Phase II: Build meaningful and insightful trend analysis of a users data at an individual level. About 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.

Analysis and structure of check in data

About 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.

Press Release Creation

We want to be recognized in our community and nationally for the work that we are doing. We have a great story to tell and we want it to be picked up by media outlets. We need students to create press releases for us. Students should be prepared to: Help us refine our story to something compelling and news-worthy Write up press releases around multiple news-worthy stories Identify media outlets that are most beneficial to us/most likely to pick the story up.  Send press releases and establish positive rapport with media contacts Secure media exposure for our organization.