68DataPoint.

Inspiration

• Literature survey of several papers using different AI approaches to solve the problem

What it does

• Recover today from the illness you get tomorrow

How we built it

• NoCode tools, Python, Azure/ AzureML

Challenges we ran into

• building a good performing ML model
• understanding how to formulate the challenge as an ML task
• One Teammate worked only 9 to 5
• One Teammate only arrived on saturday evening
• One Teammate left us 10 minutes before the start

Accomplishments that we're proud of

• Fully Integrated ML API

What we learned

• Making Predictions on TimeSeries Data

What's next for 68DataPoint.

• joining TUM.AI when starting our masters degree at TUM

Built With

• airtable
• azure
• python
• r
• scikitlearn
• softr
• webflow
• zappier