Currently, discovery of new sports talents relies on the successful job done by scouts. Decisions made by scouts are subjective and based on their personal biases and knowledge. Clubs cannot run scouting networks everywhere; they are limited by geography and sample size. In addition, not all sports clubs can run a large scouting network due to limited resources. However, social platforms and AI can redifine the process of clubs discovering talent. Athletes can create their social profiles, upload professional content, get noticed by fans and scouts, get monetary rewards to help them grow, and scouts can further use AI to predict their career development.
When we were originally deploying the smart contract, we ran into some difficulties because it was quite large in file size and exceeded the maximum gas limit allowed by Sei. In our first step to overcome this issue, we optimized the code of the smart contract so that it maintained the same core functionality but could be written in less lines of code. However, this was not enough; the file size was a bit large and the smart contract used about 10% more gas for deployment than the maximum allowed. The final step to reduce the gas deployment was to find and configure a suitable bytecode optimizer for the code. After this step was complete, our final deployment cost is about 80% less than the maximum allowed.
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