MacWater

Inspiration

60% of McMaster University students still use plastic water bottles as water filter systems all across campus remain yellow or red for a very long time. To save students the time of finding a working filter, we have created a web app that enables McMaster's audience to view the status of each water filter on campus.

What it does

Enable McMaster students to easily access real-time updates on the status of water filtration systems across campus.

How we built it

• HTML
• CSS
• JavaScript
• SQL
• Node.js
• TensorFlow
• Figma

Challenges we ran into

• Creating the image classifier system
• Loading the image classifier system
• Improving Accuracy

Accomplishments that we're proud of

• Working with TensorFlow for the first time and being able to implement an ML model to detect the colour of the sensor

What we learned

• Image classification applications in machine learning
• TensorFlow

What's next for MacWater

• Improving UI
• Incorporating feedback
• Switch from SQL to Firebase
• Update the filter status as assessed by the model to the database

Built With

• css3
• figma
• html5
• javascript
• node.js
• tensorflow