EVERGREEN Trademark

Downloadable software in the nature of a mobile application for use by college and university students for tracking, monitoring, and analyzing data on physical activity levels, mental health and wellness, behavioral patterns, and academic performance among students; Downloadable software for use in collecting and analyzing user data of college and university students on sleep patterns, physical activity levels, and cellphone usage for wellness purposes; Downloadable software for use in the provision of personalized wellness advice and stress management techniques for college and university students; Downloadable chatbot software for use in simulating conversation and providing interactive wellness advice for college and university students; Downloadable audio and video recordings featuring wellness content, namely, information about activity scheduling, sleep hygiene, and stress management techniques for college and university students.

Software as a service (SAAS) services featuring software for monitoring personal wellness, namely, analysis of user-provided behavioral data and support through interactive conversations for college and university students; Providing temporary use of on-line non-downloadable software to college and university students for the collection and analysis of user data to deliver personalized wellness advice and guidance; Providing temporary use of online non-downloadable chatbot software for engaging college and university students in interactive conversations regarding wellness; Platform as a service (PAAS) featuring computer software platforms for the integration of wellness tools, namely health and fitness trackers and educational management systems, namely, school databases; Providing on-line non-downloadable software to college and university students for accessing wellness content, namely, information about activity scheduling, sleep hygiene, and stress management techniques; Providing on-line non-downloadable software to college and university students for analyzing user-provided data on personal wellness and behavior