Inspiration
I have seen a lot of posts on social media on dogs getting lost since they crossed the gate and ran away and most of the time they get into an accident or gets badly injured by other dogs so we made this in order to prevent it.
What it does
It keeps track of the gate of the users and lets the users know if they crosses it by sending them a sms and they can even see the video when he leaves the door since with the help of tensorflowjs it only records when the dog/cat are their in the frame
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.
Built With
- express.js
- node.js
- react
- tailwind
- twilio
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