Effortl3ssAI is a prompt-to-on-chain action solution enabling users to simply provide a text prompt, and we handle the rest of the Web3 actions, such as token transfers, balance checks, NFT minting, staking, voting, and interacting with smart contracts. The platform also integrates with DeFi aggregators, making the process seamless. By providing a user-friendly experience, it aims to simplify the often complex world of Web3 and onboard millions of users to blockchain-based experiences, ensuring they can engage effortlessly with decentralized applications (dApps).
Frontend
We leveraged a range of cutting-edge technologies to bring Effortl3ssAI to life. Here’s how everything is pieced together: we used Phala Network to develop our AI agent, which translates user prompts into direct on-chain actions; to simplify the process of inputting addresses, we integrated the Ethereum Name Service (ENS); for user authentication and wallet connectivity, we integrated Reown AppKit, offers a dual login system with both Web3 wallets for crypto-native users, and Web2 social authentication methods for effortless onboarding Web2 users; for Defi integrations we use 1inch for Swap and Circle for Cross-Chain Transfer.
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To run this project, you will need to add the following environment variables to your .env file
API_KEY
ANOTHER_API_KEY
This project uses Yarn as package manager
npm install --global yarnInstall my-project with npm
yarn install my-project
cd my-projectTo run tests, run the following command
yarn test testClone the project
git clone https://github.com/Louis3797/awesome-readme-template.gitGo to the project directory
cd my-projectInstall dependencies
yarn installStart the server
yarn start- Todo 1
- Todo 2
Contributions are always welcome!
See contributing.md for ways to get started.
Please read the Code of Conduct
Distributed under the no License. See LICENSE.txt for more information.
Your Name - @twitter_handle - email@email_client.com
Project Link: https://github.com/Louis3797/awesome-readme-template
Use this section to mention useful resources and libraries that you have used in your projects.
# dont forget to install the dependencies
pip install requirements.txt
# then create an env file
cp .env.example .env