Inspiration
- Our inspiration for this project was to understand how Artificial Intelligence is about to compute probabilities based off a set of logs, specifically how it creates its own distinct calculations or associative patterns to solve a problem. ## What it does
- What the project does is analyze spin histories to estimate how likely a slot machine is to pay out. As new results come in, it revises its predictions using both the machine’s recent performance and trends across other machines. ## How we built it
- We built it using a mix Perplexity's Comet and Open AI's ChatGPT, inputting the prompts and data given to compare results and ultimately choose the code we felt most confident in. ## Challenges we ran into
- Some challenges we ran into was coming up with a cohesive plan, as this was our first hackathon/datathon, so we look a while to try and understand the challenge and get started. ## Accomplishments that we're proud of
- Some accomplishments we're proud of is being able to work together and produce something for this project. ## What we learned
- What we learned from this project is that certain AI models are great at managing large datasets or working with multiple files of different types. ## What's next for House Edge
- What's next for House Edge is potentially using its code and adjusting it to create probabilities for other sets of data.
Built With
- chatgpt
- perplexity
