BRAGI

2026 AI & Video Generation React, Node.js, AI APIs
BRAGI Project

BRAGI is a groundbreaking AI-powered video generator that empowers creators, marketers, and businesses to produce professional-grade videos PILOT with minimal effort. By integrating advanced AI models, BRAGI automates script generation, scene composition, and editing, allowing users to focus on their creative vision. This project is a testament to my growth as a developer, combining full-stack development, AI integration, and performance optimization to deliver a seamless user experience.

Originally developed using PHP and Laravel, I migrated the platform to React and Node.js to achieve better performance and scalability. Building on my experience from the Subtruck AI project, I enhanced my skills in full-stack development, API creation, and AI model integration. Additionally, I’m excited to share that an iOS app for BRAGI is currently in development, leveraging Swift to bring this powerful tool to mobile users. BRAGI is not just a project—it's a showcase of innovation, optimization, and my passion for creating impactful solutions.

Key Features

The platform leverages advanced machine learning models to understand context and generate relevant visuals, transitions, and audio. It significantly reduces the time and effort required to produce engaging video content.

Whether for social media, marketing, or educational purposes, BRAGI provides a seamless and intuitive interface for creating professional-grade videos without the need for complex editing software.

Project Gallery

Skills and Technologies

Building on Previous Experience

BRAGI builds on the foundation I established with Subtruck AI, where I first explored app development and AI integration. While initially built with Laravel, the move to React and Node.js allowed for a more dynamic, responsive frontend and a high-performance backend, significantly improving the user experience.

A major milestone in this project was learning to create and integrate APIs. I developed custom APIs to connect BRAGI with open-source AI models like Wan 2.1, Kling, Google Gemini, Mochi, and others, enhancing the quality and creativity of the generated videos. Using Python, I handled data preprocessing, API requests, and fine-tuning of AI outputs, ensuring seamless integration and high-quality results.

Additionally, I focused on performance optimization by learning advanced hosting techniques. I optimized the server infrastructure to ensure BRAGI runs smoothly and efficiently, delivering fast load times and a responsive experience for users. This project also marks my first step into iOS app development, as I’m currently working on a mobile app for BRAGI using Swift, bringing the platform’s capabilities to iOS users.

Technologies Used

React Node.js Laravel Livewire Tailwind CSS Python Swift APIs Wan 2.1 Kling Google Gemini Mochi