EcoFuture

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  Home Page

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  AI Driven Analysis

Inspiration - Ecology Unit from our Biology Class

What it does - It utilizes Location, Animal Species, and Timeframe to predict or provide data on Animal Species.

How we built it - We used User Inputs based on the above mentioned info and formatted it into a prompt that could be sent to the backend. This backend uses an API key that contacts the Groq AI. We give it info and ask it to format it into JSON data that we use to integrate into a graph. We also have a exctinction level predictor that is also based on AI Analysis. Certain Limiting Factors can also be tested and used to change the graph's output.

Challenges we ran into - We ran into a lot of trouble trying to implement Gemini API. We switched to Groq to be able to complete out project effectively.

Accomplishments that we're proud of - We are proud of our graphs and the speed of AI integration

What we learned - We learned how to fix bugs and errors related with AI integration utilizing charts. We have never done this type of program before.

Built With

• css
• flask
• groq
• html
• javascript
• python