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Project::Braveheart

This progressive web app was created for ConUHacks V 2020 hackathon.

Open Demo Video

Challenges:

Sun Life Financial: Workplace Well-being Challenge
Zendesk's Sunshine Conversations API Challenge
Octave's Build an Innovative Music Player Challenge
Telus: Technology for Mental Health Well-being
SAP's Best Use of Cloud Technology Challenge

Written by:

Benjamin Lanthier
Karl Noory
Nahej Lefebvre
Pierre-Olivier Trottier

Objective

Create an innovative music player that returns playlist tailored to users' mood.

Target Audience

Music streaming services users, social media users and music lovers.

Usage

Head on over to our chat-bot's web page and share your current mood with it. It will return you the link to a music playlist taylored to your current mental state.

Link to the bot (Was taken down because we ran out of free credits)

Business Value

Helps users in times of need by providing them with playlists to boost their moods and make them feel better. Allows for a unique and special experience that will make the users feel connected to the platform. Subcscription-based (Free tier with ads + Paid tier) allows for a continuous revenue flow.

Technology Stack

Frontend:
- Vue.JS
Backend:
- Firebase
APIs:
- Zendesk API
  - Allowed us to create an interactive bot across multiple platforms very easily
- Octave API
  - Allows for the music streaming in the player app
ML Algorithm:
- Natural - Classifiers
- Trained with custom model to give good answers
  - Lets us predict the general mood of a sentence based on specific words the ML algorithm was trained to recognize and categorize
CI/CD:
- GitHub Actions + Docker + Firebase Functions
  - The GitHub Action builds a docker image and pushes the changes to the Firebase Functions whenever a commit is pushed to master
Hosting:
- Azure Web App for Containers (Taken Down)
- Azure Container Registry (Taken Down)

Built With

Submitted to

ConUHacks V
- Winner Telus - $800 Visa Gift Cards (1st place), $200 Visa Gift Cards (2nd place), and preferential interview placement for all winning team members

Created by

I worked mostly on the back-end and help implement the sentiment analysis algorithm. I explored how word2vec works and how basic AI operates.

Karl Noory
I worked on the database for the playlists and automating the acquisition of the song data.

BigBen03
I mostly worked on the front-end (the music player) but also helped with the back-end. For example, I linked the front-end to the Octave-Group API and to the Database. I also implemented the machine learning algorithm in the Firebase Functions API.

Pierre-Olivier Trottier
NahejL