Inspiration
Except numbers produced by project owners, there are no verifiable data to support the claim of comminuty growth or engagement. Hence why many ponzi schemes thrive by faking the statistics in the community.
What it does
A neural network dapp that deciphers genuine projects and ranks them according to numbers obtained from verifiable sources. With the daily growth of the ethereum community, scammers develop ponzi schemes with fake community numbers and investors in the community fall victim regularly. With BESTR3, investors will be able to make informed decisions about the statistics of claimed projects.
How we built it
Bestr3 will be trained using neural networks which will be connected to the Application Programming Interface using customly built response hooks to POST and GET data from various social media and forum sites which will then be filtered by the Bestr3 model. Bestr3 will be built on the Ethereum network with the ERC-71 Protocol.
Challenges we ran into
- Large pool of ranking Data from APIs
- Filtering of Spam engagemnets
- Neural Network accuracy
Accomplishments that we're proud of
A neural network dapp that deciphers genuine projects and ranks them according to numbers obtained from verifiable sources
Built With
- django
- hardhat
- javascript
- pandas
- python
- react
- scikit-learn
- solidity
- tensorflow
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