The Good Tech Companies - A Newbie Developer's Guide to Bringing AI Into Blockchain dApps

Episode Date: July 26, 2024

This story was originally published on HackerNoon at: https://hackernoon.com/a-newbie-developers-guide-to-bringing-ai-into-blockchain-dapps. In this step-by-step guide, learn how to seamlessly integrate AI into your blockchain projects, even with limited experience. Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #dapp, #ai-blockchain, #developer's-guide, #what-is-a-dapp, #building-ai-dapps-guide, #ai-dapps, #good-company, #smart-contracts, and more. This story was written by: @aelfblockchain. Learn more about this writer by checking @aelfblockchain's about page, and for more stories, please visit hackernoon.com. Enhance user experience, automate tasks, and unlock new possibilities for your dApps. In this step-by-step guide, learn how to seamlessly integrate AI into your blockchain projects, even with limited experience.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. A newbie developer's guide to bringing AI into blockchain DAPPs, by IELF. Building AI DAPPs is a fascinating endeavor that could prove to be a major challenge, despite a developer's coding proficiency. But the rewards and possibilities are limitless, considering that AI and blockchain are still blue oceans that are already birthing innovative solutions to real-world problems. If you're a developer, blockchain enthusiast, or a beginner looking to venture into this exciting domain of AI and blockchain, this comprehensive guide will walk you through the steps to build your own AI-powered DApp,

replete with an example of building on IELTS infrastructure. What is a Decentral decentralized application, DAP? Decentralized applications, commonly referred to as DAPPs, are applications that run on a decentralized network, typically a blockchain. Unlike traditional applications, DAPPs do not rely on a single centralized server but instead leverage the distributed nature of blockchain technology to enhance security, transparency, and resilience. They operate autonomously, often powered by smart contracts, which are self-executing contracts with the terms directly written into lines of code. This autonomous and decentralized nature of DAPPs

makes them highly robust and less vulnerable to censorship. Benefits of integrating AI with DAPPs real-time data analysis. AI's ability to analyze massive datasets in real-time complements the transparent and secure environment of blockchain, enabling smarter decision-making processes within DAPPs. Backslash dot. Enhanced data analysis. AI processes complex algorithms to provide insights, contributing to better optimization and efficiency of decentralized applications. Backslash dot, natural language processing and image recognition. Natural language processing enables DAPPs to learn, understand, and respond to human language inputs, while image recognition allows the app to identify and process visual data, enhancing user

interaction and functionality. Backslash dot. Improved user interfaces. AI facilitates more intuitive user interfaces and improved interaction experiences. Backslash dot. Transaction efficiency. AI automates and optimizes transaction processes, ensuring faster and more accurate execution of smart contracts, reducing latency, and enhancing overall DAP performance. Backslash. Enhanced security. AI employs advanced algorithms to detect and mitigate fraudulent activities or security breaches in real-time, fortifying the blockchain's security framework. Backslash. Innovative use cases. The synergy between AI and blockchain drives innovations, such as AI for automated trading strategies, risk assessment, and portfolio management in decentralized finance, DeFi, DAPPs. Step-by-step guide to building AI DAPPs.

1. Define the use case Begin with a clear and concise use case. Identify the problem you aim to solve with your AI DApp. Whether it's predicting market trends, automating processes, or enhancing user experience, a well-defined use case is crucial. Here are a few more common examples of well-defined use cases to spur some ideas healthcare monitoring. An AI DApp that tracks patient vitals and predicts potential health risks using real-time data and machine learning algorithms. Backslash.customer service chatbots. AI-driven DAPPs that offer real-time support and problem-solving for customers by understanding and responding to natural language inquiries. Backslash.image and video recognition. AI DAPPs that process and identify objects,

people, or scenes in images and videos, are useful for security, marketing, and content management. 2. Write smart contracts that can be deployed on an AI blockchain Smart contracts are the backbone of any blockchain-based application. Before you dive into coding, it's crucial to design the logic that will interact with AI blockchain algorithms seamlessly. Here's a step-by-step guide on how to design a smart contract. Step 1. Set up your development environment You can refer to your blockchain's developer's documentation for detailed setup instructions.

Let's say you intend to build on an AI-supported Layer 1 blockchain like IELF, you can find guided instructions here on IELF's AI blockchain. Step 2. Define your contract structure Begin by laying out the structure of your smart contract. Identify the key components, state variables, store the contract's data, functions, define the operations that can be performed, events, log activities so users can listen to them. Step 3. Write your smart contract code. Let's say you've defined your use case from step 1. A hypothetical AI dApp that leverages AI for automated content creation. Users can submit topics, and the AI generates articles, blog posts, copies, or summaries,

while a smart contract ensures authenticity and secures payments. For simplicity, here's how you can construct a basic C-sharp-based contract, since it is IELTS' choice of programming language to enhance code reliability and reduce runtime errors. Smart contract in C-sharp step 4. Deploy your smart contract with your smart contract code written. The next step involves deploying it onto your choice of AI blockchain. In this case, it can be a layer 1 AI blockchain like iOF, which is tailored for AI applications. Then, you'll have to set up wallets like iOF's Portkey to connect to your chosen blockchain, as you'll need enough funds to pay for gas fees. You'll

then have to go to the iOF Playground on your browser. iOF Playground is a user-friendly development environment for writing, deploying, and testing smart contracts on the IELF AI blockchain while ensuring codes are error-free. 3. Identify AI features on THE blockchain Now, you have the option of identifying the AI features you want to integrate with your DApp, if that hasn't already been covered. For instance, you might want to use machine learning models for predictive analytics, natural language processing for chatbots, or computer vision for image recognition. Ensure your chosen blockchain platform supports these features either natively or through interoperability with AI services. 4. Integrate smart contracts with the AIDAPP The final step involves integrating the deployed smart contracts with your ADAP. Follow these steps set up a front-end framework

like React or Angular to create the user interface for your AI DApp. Use IELTS Web3.js to interact with your deployed smart contract. This allows you to read from and write to the blockchain directly from your DApp. Fetch data from the smart contract and use the defined AI features to process the data. Display the processed data in your DAP's user interface, providing a seamless user experience. 5. Utilize AI features in the use case with everything in place. It's time to harness the power of AI within your DAP. Utilize deployed AI models within the DAP environment. Real-time processing. Ensure real-time data processing and analysis to provide instant feedback to users.

Continuous learning. Implement mechanisms for continuous learning and improvement of AI models based on user interactions and new data. In closing, by following these steps, you will not only build a fundamental AI dApp that leverages both blockchain and artificial intelligence, but also budding confidence in navigating the rocky terrains of future projects. It is certainly a behemoth task compared to building traditional apps. With this toolkit, you may go forth, realize your visions, and make a positive impact on the exciting world of Web3 with IELF. Disclaimer. The information provided on this blog does not constitute investment advice, financial advice, trading advice, or any other form of professional advice. IELF makes no guarantees or warranties about the accuracy, completeness, or timeliness of the information on this blog. You should not make

any investment decisions based solely on the information provided on this blog. You should always consult with a qualified financial or legal advisor before making any investment decisions. About IELF founded in 2017 with its global hub based in Singapore, IELF is a versatile multi-chain blockchain pioneering the integration of artificial intelligence, AI, into blockchain technology. By unlocking the best of AI's capabilities, IELF is building a smarter, user-friendlier ecosystem for users and developers to overcome the limitations of traditional blockchain. Through a combination of machine learning models and natural language processing, NLP, IELF's innovation simplifies smart contract execution, lowers gas fees, sharpens network congestion prediction, and optimizes resource

allocation. This new and improved architecture and framework lets developers build and deploy AI-powered DAPPs with greater ease, all with a comprehensive suite of toolkit sand resources to boot. With a firm commitment to innovation and collaboration, IELF is shaping the future of Web3 and the decentralized landscape. Find out more about IELF and stay connected with our community. Website, X, Telegram, Discord Find out more about iAlf and stay connected with our community.