Skip to content

kpatel0170/SpyPooch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 
 
 

Repository files navigation

SpyPooch

Inspiration

We wanted to build something that's related to ML/AI. Then with the theme, we got the idea to make something that connects two different systems. If we have a pet in the house, it's very hard to give time to look in CAMERAS all the time when you are away from home. That's the point, we decided to discover something that can identify the activity and sends the notification to the phone number.

What it does

It keeps track of pets at gate and notifies the client if they croses it.

How we built it

We build the ML model using TensorFlow JS and implemented the notification (message) feature using Twilio.

Challenges we ran into

Initially, we are finding it hard to implement the idea that we were thinking obviously with the time constraint. It was hard to find videos to test the model and build the connection between the flag generated with activity and the notification feature.

Accomplishments that we're proud of

As soon as we get started gaining the confidence to improve and finish it all up on time.

What we learned

TensorFlow JS, React JS, Node JS, Twilio. Most importantly this was our first ML/AL project. Lot of learnings!!

What's next for SpyPooch

We'll try to add some extra features in the future.