Save My Plant

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Inspiration

We wanted to create a tool with which you could know if your plant(s) need treatments.

What it does

With the help of Machine Learning, this website will diagnose plants and redirect the user to the necessary ressources.

How we built it

We built it with angular.js components, material and services. The classifier with built in python and the model was compiled to be run in tensorflowjs.

Challenges we ran into

Adding the classifier to the app. Learning angular. Finding the data to train the classifier on.

Accomplishments that we're proud of

Adding a Resnet classifier to the web app. Decentralised ML into the browser.

What we learned

Make web pages. Implementing AI in a functionning app.

What's next for SaveMyPlant

Deploy to the cloud Improve the classifier accuracy and support **more plant and diseases. Couple the the photo of the plant with metadata such as **geolocation of the taken photo to display a map of the farmer's field with position of the unhealthy crops to have targeted pesticide usage therfore limiting it's usage.