Effloresce AI Suite

In the realm of digital creativity, there exists a transformative force – Effloresce AI. Effloresce AI isn't just an AI program; it's a comprehensive creative in-house created suite designed to elevate our content creation and speed up production of media. With its powerful capabilities in graphic design, video production, text media creation, and advanced machine learning-driven database management, Effloresce AI is the foundation of the Middle Neave Inc. digital content creation business.

Effloresce AI is designed with seamless integration and accessibility in mind. Built using Python and C++, Effloresce ensures compatibility with a wide range of platforms and environments, making it accessible to users across various devices and operating systems. Effloresce AI is designed in separate software “parts” that are unique frameworks that will be combined to make a software suite.

Effloresce Cordis

Effloresce Cordis stands at the heart of the Effloresce AI suite, serving as the foundational software written in Python that powers the entire creative ecosystem. Designed with versatility, scalability, and intelligence in mind, Effloresce Cordis embodies the essence of intelligent creativity, enabling users to unlock their full potential in content creation and beyond.

Effloresce Cordis represents the culmination of years of research, development, and innovation in artificial intelligence and machine learning. Built upon a robust Python framework, Effloresce Cordis serves as the engine that drives the diverse array of creative capabilities within the Effloresce AI suite.

Python was chosen as the programming language for Effloresce Cordis due to its simplicity, readability, and versatility. Renowned for its rich ecosystem of libraries and frameworks, Python provides the flexibility and power needed to implement complex algorithms, models, and functionalities required for intelligent content creation.

Effloresce Cerebrum

Think of Effloresce Cerebrum as the API bridge designed in C++ between Effloresce Cordis and Effloresce Stomachum, its three major roles are to collect and process data for a first render for Effloresce Oculos, Morus and Nuntium, and collect and organize the data on Effloresce Stomachum, then provide a render package to Cordis.

We are using Caffe as the main deep learning framework, Caffe was developed by the Berkeley Vision and Learning Center (BVLC) that is written in C++ and designed for speed, modularity, and scalability. It provides a flexible architecture for designing and training deep neural networks, with support for convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more.

Caffe supports data augmentation techniques to increase the diversity and size of the training dataset, which helps improve the generalization and robustness of the trained model. Data augmentation can be applied directly within Caffe using data augmentation layers or as part of the preprocessing pipeline before feeding the data into the network.

Effloresce Stomachum

Stomachum is our own framework for data management and optimization. We use Cerebrums API bridge and libraries to create large database systems that are much more efficient than other AI systems. Stomachum is designed to hold storage in the future in an offline environment and create a hardware set for build out of the Effloresce suite.

Effloresce Oculos

Oculos uses the Effloresce Cerebrum vison algorithms (Dlib) and converts that data stored in Stomachum to create visually stunning graphics, videos, and multimedia content.

Computer Vision: With sophisticated computer vision algorithms using Dlib and PyTorch, Effloresce Cerebrum can analyze and interpret visual data, allowing for the creation of visually stunning graphics, videos, and multimedia content.

Effloresce Oculos Framework was stand alone, it is now integrated into Cerebrum and Cordis in Q2 of 2024 Oculos will be changing into the output GUI system for Effloresce, and not a standalone framework. Qt framework will be used for the GUI design of Oculos, and running the rendering of Cerebrum and Cordis packages.

Effloresce Nuntium

We used the ideas behind spaCy and Natural Language Toolkit and created our own Effloresce Nuntium framework in Python for speed and stability and the ability to decode our Effloresce Stomachum and create text and news from data streams, Currently Nuntium is a stand alone framework using cerebrum AI only for database management and compression

Effloresce Auribus

Auribus is the final project for Affloresce that will be able to listen and decode music, and create its own music specified by genre