Girl Math
Our ML model and dashboard were built earlier, but due to difficulties integrating it with Web3, we submitted a VERY basic HTML/CSS instead
Project Description
We had previously developed both the ML model and dashboard, but faced challenges integrating them with Web3, which led us to submit a simpler project. This hackathon has been a great learning experience, and we’re definitely committed to learning more about Web3 and crypto technologies to build on this project in the future.
How it's Made
HTML, CSS, JS, Python- We built the ML model using historical Ethereum data, leveraging Facebook’s Prophet library for time-series forecasting. The model predicts Ethereum prices for different timeframes—monthly, six months, one year, and five years—by identifying patterns and trends in the data. Despite the model being fully functional, we couldn’t integrate it with Web3 in time for the hackathon
