🛠️Technology

Introduction

A groundbreaking marketing platform developed with artificial intelligence (AI) technology, MAR3 is being deployed on Layer 2 Blockchain as a Web3 decentralized application (DApps). We provide marketers with intelligent tools to enhance their marketing strategies.

MAR3 believes that the platform of any technology project is a key factor in determining its success. As a result, we always focus on designing a comprehensive technology architecture and deploying it.

The technical section will detail the technical aspects of the project, including the technologies used, the system architecture, standards and protocols, scalability and integration, and development plans in the future.

Technical Overview

Our development process uses a range of proven technologies and methods, including:

Machine Learning

In our product, we use the following Machine Learning (ML) technologies to determine patterns from data and predict outcomes.

  1. NLP (Natural Language Processing)

GPT-4 and Whisper NLP technologies help us understand and analyze user questions and answers more naturally and intelligently. NLP also enables us to create automatic content and improve user experience.

  1. GPT-4

  • Natural Language Processing: GPT-4 is capable of automatically and accurately processing natural language. This allows it to understand and analyze user questions more intelligently.

  • Deep learning: Through deep and repetitive training, GPT-4 learns how to solve difficult problems and generate better results.

  • Customization: We can create custom NLP models for specific applications by customizing training data in GPT-4 to improve processing efficiency.

  1. Whispering

  • Human-like accuracy and reliability: Whisper has been trained to achieve accuracy and reliability close to human levels in English speech recognition. This helps improve speech recognition on applications and services.

  • Open source publication: Whisper is open source, allowing developers to use and improve it for various applications, thereby increasing development speed and quality.

  • Broad application potential: Whisper has the potential to be applied in a wide range of fields, from virtual assistants to speech recognition on mobile devices.

Developers can use Whisper to develop better NLP applications and improve user experience.

  1. Text-to-Image

We use Text-To-Image technologies such as Dall-E 2 and Stable Diffusion to create unique and rich images automatically, based on user requests.

OpenAI's Dall-E 2 is the latest image generation model, developed from the original Dall-E, which can generate complete images from simple text descriptions. This model offers many noteworthy features, such as:

  • Ability to create diverse images: From simple text descriptions such as "a cat playing with a light bulb", Dall-E 2 can create high-resolution and diverse images.

  • Fast processing speed: The Dall-E 2 is built on the Convolutional Neural Network platform for fast and efficient image processing.

  • High flexibility: Dall-E 2 allows users to customize and adjust output results based on their specific needs.

The Stable Diffusion solution is an Artificial Intelligence solution that generates image and language generation models. Its many advantages include:

  • High reliability: Stable Diffusion generates accurate and high-quality image and language generation models.

  • Good processing performance: Stable Diffusion is built on top of convolutional neural networks and optimized for fast and efficient processing.

  • High flexibility: Stable Diffusion can be customized and adjusted according to specific user needs.

Blockchain

A blockchain is a distributed and secure technology for storing and transmitting information. Ethereum is a popular blockchain platform that has a large development community and is highly compatible with other blockchain projects. In our product, we use the following blockchain technologies:

  1. Web3 Decentralized Application (DApps)

Using DApp technology, we ensure the safety and security of user data and transactions. DApps distribute data across multiple network nodes, preventing outside attacks and ensuring data integrity.

Unlike traditional applications, DApps allow users to access and use applications independently, without relying on intermediaries.

  1. Smart Contract

With our product, we use smart contracts to perform safe and automatic transactions. Using smart contracts, predefined conditions and actions are automatically executed when those conditions are met without trusting any intermediary. Therefore, transactions are accurate and transparent.

  1. zk-Rollup

A blockchain transaction can be made faster and more efficient with the use of zk-Rollup technology. In contrast to performing transactions on the main blockchain, layer 2 blockchains offer faster and lower-cost transactions, reducing transaction fees and waiting times.

Additionally, this helps reduce the load on the blockchain system's network nodes, resulting in increased scalability and performance of our product.

  1. Mar3 ID

Users can create and manage their personal identities on the blockchain with @username.mar3 format domain name services. This is a convenient way to access services and applications on the blockchain without having to remember complex and lengthy addresses.

  • Blockchain technology can enhance the safety and security of domain name registration.

  • Users' personal information will be stored on the blockchain and can only be accessed by them and authorized parties.

  • On the Mar3 blockchain, Mar3 IDs can be used in a variety of applications.

  • Help solve the problem of duplicate domain names on the blockchain and reduce the possibility of domain name disputes.

Technology

Programming languages

The advantage of using Python, JavaScript, and Solidity to develop AI features and deploy Web3 applications is their accuracy, automatic learning ability, and flexibility.

  1. Python

A Python backend allows for quick development of new features, easy system maintenance, and easy integration of Machine Learning models. Python is also widely used for Machine Learning and AI projects.

  1. Typescript

Typescript is a popular programming language for creating web and blockchain applications. It improves security and maintainability.

  1. Solidity

Developed on the Ethereum platform, Solidity is used to write smart contracts in the MAR3 project, which ensures safety and decentralization.

  1. Javascript

MAR3 uses this programming language to build frontend applications.

Framework

  1. NodeJS

Multithreading is efficient in NodeJS, which makes applications run faster and meet users' challenging needs at the same time.

Code reuse: NodeJS allows you to reuse code components from other applications, saving you time and effort.

  1. NextJS

NextJS optimizes the user experience, improving page loading speed and SEO for web applications.

NextJS supports server-side rendering, enabling web applications to run faster and reduce server response times.

  1. ReactJS

Performance: ReactJS uses Virtual DOM to improve performance and improve the user experience, making applications run faster and meet users' demands.

Easy state management: ReactJS allows easy management of application state, reducing development errors.

  1. Hardhat

Hardhat is a framework designed to support Smart Contract development on Ethereum, reducing errors that may occur during development.

Hardhat integrates Ethereum development tools such as Truffle, Remix, Ganache, and Etherscan, increasing efficiency and saving time.

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