Predicting cryptocurrency based on Starknet

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Inspiration

The cryptocurrency market is one of the most volatile and data-driven financial systems in the world. Traditional analysis tools often fail to capture the dynamic and decentralized nature of blockchain ecosystems. We were inspired to leverage Kronos, a next-generation AI model, to forecast crypto trends more accurately and transparently — all while running on Starknet, ensuring scalability, low gas fees, and on-chain verifiability.

What it does

Our DApp, Kronos Predict, uses the Kronos large language model to analyze blockchain data, market sentiment, and macroeconomic indicators to predict short-term price trends of cryptocurrencies such as ETH, BTC, and DOT.

How we built it

in the file folder kronos-dapp， run “.\start.ps1” （windows ）.you can see

Challenges we ran into

How to apply a large model written in Python to the Starknet DApp layout;
Errors encountered when deploying the DApp to Starknet, such as wallet linking and contract deployment;
Errors encountered when claiming STRK tokens;
Front-end errors, display anomalies, etc.

Accomplishments that we're proud of

 1. Successfully deployed my own dapp on Starknet.
 2. This is a great app that will help more people predict cryptocurrency trends. This app is highly sought after.