To me it seems like one of the most common problems in crypto is dodgy smart contracts. People sign stuff from wallets that they shouldn't be signing because it leads to them losing a lot of money.
I thought it would be a good idea to train a ML model that takes in various inputs I'll list some out below to get an idea, and determines whether the contract is a scam or not (or at least generates some safeness score). I think it could also store this in a database that could be publicly available (either through an api) or maybe through a blockchain.
Examples of factors would be:
-Website age
-Github stars/presences
-Transaction history
-History of people having problems
-Website itself
-something like codex applied to the contract to understand what it does and determine if it is a scam
I think there are many more inputs that can be considered and the goal is obviously to reduce fraud in the crypto space and make it a bit more trustworthy.
What do people think?
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