AIRE

The Future is now.

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Inspiration

Our parents are retiring soon, and in a few decades, so will we. It is important to plan for the future, and we came up with this idea.

What it does

This product takes in a tax form that anyone fills out, and a person can ask a question to the model regarding a retirement plan. Then, the AI gives an output that helps the person understand what they should do in order to retire.

How we built it

We utilized React for the front end and JavaScript for the back end. Furthermore, we utilized Gemini API that incorporates our code along with the user's input.

Challenges we ran into

The main challenges we ran into were the accuracy of Gemini API along with the implementation of Flask. Initially we used Python for the backend and Flask for the frontend, but we couldn't connect the two after finishing the code. Furthermore, the most accurate AI with a free API was Gemini, but it isn't as accurate when compared to other AI models like ChatGPT and Perplexity AI.

Accomplishments that we're proud of

We are incredibly proud that our project compiled with no errors even though the accuracy isn't there.

What we learned

We learned many things throughout this process including utilizing Gemini AI API and implementing data engineering.

What's next for AIRE

The next steps for AIRE is to utilize ChatGPT's API to improve the accuracy for our prompt, and improving the prompt engineering that was developed in the back end. Furthermore, we can include much more specific outputs when connecting the user's question and our parsing information.

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