One reason we love helping people join the world’s next workforce is because we’re providing the skills to improve your own life and the lives of others. Software Engineering Flex student Christopher V. did just that by focusing his capstone project on creating “A safe space where you can embrace.”
Mood Journal is an online calendar journal that allows you to write down, think about, and learn from your various moods. Christopher initially created this project to help him improve his own state of mind and found journaling helped him become more self-aware about his feelings and moods––and the events in his life that were triggering them. Once he realized how much the journal helped him work through the things he was feeling, he wanted to share it with others.
Let’s take a quick look at the Mood Journal platform.
Login to the Mood Journal here. To login, for demo purposes use:
username - localuser
password - localpassword
Once you’re signed in, you’ll be able to see a digital calendar by month.
If you click on an old entry or create a new post, you’ll get to the Dashboard Screen, which allows you to make a post for the current day only. If you click to other months, you can choose any journal posts to edit.
There are preset moods that you can choose from: (Happy, Sad, Angry, Normal)
How Christopher built the project:
Front-End Programming Languages:
- HTML
- CSS
- JavaScript
- JQuery
- AJAX
- Responsive Design CSS
Back-End Programming Languages:
- Node.JS
- MongoDB
- Mongoose
- Passport-JWT
- Passport-Local
Understanding your mood on a daily basis is an important way to track down what impacts you and your feelings. Knowing the root cause of a bad mood allows for more self-awareness, reflection, and hopefully a clearer path to improving mental health, making Mood Journal a meaningful and standout capstone project.
Interested in creating a useful online platform that could make the world a better place? Join the world’s next workforce with Thinkful. Learn more about our Software Engineering Flex course.
See another stand out student project – this Data Science Flex student created a tool to help you predict useful Yelp reviews.