Checking the balance of your William and Mary express account, your dining (flex) dollars, and the number of meal swipes you have can be a hassle. Aflexa remedies this by integrating all this information with Amazon Alexa. Furthermore, laundry information is available for every connected washer and dryer in every living space on campus, including Fraternity Housing and the Graduate Building.
What it does
Retrieves laundry machine status, flex balance, express balance, and meal swipe balance based on user request.
How we built it
Data was retrieved from WM cbord service using the MechanicalSoup library in Python. Financial data was scraped, parsed and outputted. Laundry data was found and scraped as well.
Challenges we ran into
Accomplishments that we're proud of
We were able to successfully retrieve data for multiple financial accounts for a user, as well as find availability of every single washer and dryer on campus.
What we learned
We learned a lot about developing Alexa skills, as well as its voice recognition capabilities.
What's next for Aflexa
We are planning to improve Alexa's recognition functionality when in noisy environments. Furthermore, we are planning to find and provide information as to when washers/dryers would become available, then push a notification to the Alexa. Users could also choose to receive a notification for their laundry.
To further expand the financial capability, we would like to implement the ability to add funds to express and add extra flex dollars, as well as retrieve spending history. However, we must first improve the security, and part of that would be looking to authenticate the WM CAS credentials with the Amazon account.