Inspiration
Success of large language models and AI in general like chat GPT
What it does
Originally we were planning to utilize GPT-4 as an interface to an ML model that can accurately predict signs of deforestation from satellite imagery. However, the backend part of this project kind of failed so we're just left with a GPT-4 chatbot that only responds to questions regarding trees
How we built it
We utilized a chat gpt API, python, html, and javascript
Challenges we ran into
Large technical difficulties that prevented us from successfully developing the ML model
Accomplishments that we're proud of
A cool, clean looking website :D
What we learned
Don't bring bad computers to a hackathon
What's next for TreeGPT
Finishing the project as we intended to
Built With
- chat-gpt
- html5
- javascript
- python
- pytorch
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