Daily Gratitude
Description as a Tweet:
What in your life are you grateful for? Daily Gratitude helps you acknowledge the positive each day and receive personalized summaries based on your submissions.
Inspiration:
We have both been getting into journaling and finds that it puts us in a good mood for that day. Reminding yourself what you are thankful for trains your brain to look for the positives.
What it does:
Our project allows a user to submit daily "gratitudes" of things they are thankful for. We then use topic modeling to extract the most prevalent recipients of gratitude (for example: friends, family, coffee...). On a rough day, the user can ask for reminders of what they are most grateful for.
How we built it:
We built out app in Django and used gensim and spacy to build an LDA topic model.
Technologies we used:
- HTML/CSS
- Python
- Django
- AI/Machine Learning
Challenges we ran into:
We have never used Django before or done front end work. Downloading nlp dependencies posed challenges as well as they are cumbersome.
Accomplishments we're proud of:
We are proud of what we have accomplished in such a short time and seeing the topic models was rewarding.
What we've learned:
We learned the basics of Django and unsupervised learning libraries.
What's next:
Separating the "documents" to allow multiple runs of the topic model. Also, implementing more application logic like routing to have a complete app.
Built with:
Django, python, gensim, html, spacey
Prizes we're going for:
- Fujifilm Instax Mini 11 Instant Film Camera, Sky Blue
- Cash prizes: $1,000 total to first place team; $500 total to second place team; $200 to third place team
- Nintendo Switches
- Apple AirPods 3rd Gen
- Bose Headphones
- Meta Portals
Team Members
Adi Geva