Team members:

Elimelach Lowen, Alexis Gouault, Kevin Wang, Ba Quoc Trung Nguyen

Inspiration

  • We took inspiration from a really well built app "flo".

What it does

  • Allows women to track their menstrual cycle, depending on their average cycle length, their last period and their average period length.
  • Integrates an AI chatbot that can be used to ask questions about certains symptoms, or about abnormal menstrual or emotional activity.

How we built it

  • Built using a HTML, CSS and Java script base ## Challenges we ran into -Gemini AI was pretty hard to integrate, as well as running it afterwards

Accomplishments that we're proud of

  • Good interactivity and overall satisfying design of the web application

What we learned

  • We learned how to use AI powered API's to create nteresting components for our applications
  • We level'd up our mastery of the coding languages we used in the developpement of the application.

What's next for CycleSense

  • Possible upgrade of the chatbot, for it to be able to watch your activity in the app, and notice you if the use logged in concerning symptoms or menstrual cycle data, to then give advice on what to do.
  • UI upgrade, maybe to a local mobile app instead of a website, which will be better for data storage.

https://github.com/Drapesnape/UdeMHacks2025

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