Inspiration
The countless reddit posts we came across made us realize the demand for a product like Garden Guardian.
What it does
With Garden Guardian, you can upload any image of insects in your garden, and the app with automatically identify and assess their threat level. After you input your image, the app will output: Your insect's species, a few facts about it, how it harms / benefits your garden plants, and whether it poses any threat (bites, poisonous, disease, etc.) to humans.
How we built it
The back-end of our project was constructed with AIP Logic, which assisted us with our image classification model. Meanwhile, the front-end was based on the Workshop Module and Pipeline tool.
Challenges we ran into
We faced several challenges both in the front and back-end. For example, we struggled with creating media objects to import into the AI model. We initially faced challenges when trying to engineer our model in Google Colab. So, as an alternative, we turned to Palantir, which offered a far more broad and versatile toolkit. Throughout the process, we discovered the function of a pre-imbedded LLM that also possessed image-processing capabilities.
Accomplishments that we're proud of
We are proud of how we were able to navigate the new Palantir workspace in the time allotted to create and develop an app 100% on Palantir. We are also proud of our time management skills, as we were able to finish promptly and have lots of time to prepare for our pitch.
What we learned
We learned about Palantir’s various functionalities through the guidance of the site’s AIP Assist as well as in-person Palantir volunteers.
What's next for Garden Guardian
We are hoping to develop this into a mobile app, so that people can use Garden Guardian more conveniently. With this development, we are planning to integrate a camera right into the app. We would also add additional information for the model to output, such as solutions for getting rid of pests in your garden.
Built With
- gpt4o
- palantir

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