Projects
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🔭 My Current Projects
📡 AuroraChanAI Project
AuroraChan is a localized architecture of fine-tuned Large Language Models and neural networks working in tandem to create a semi-autonomous virtual streamer. Aurora represents years of my work and thousands of hours of testing, leading towards the goal of creating a fully autonomous “lifelike” AI streamer.
Key Features:
- Multiple integrated LLMs working together for natural conversation
- Real-time interaction with chat and stream events
- Custom-trained my handcrafted datasets
- Dynamic memory and context handling to learn and adapt as she operates
- Simi-Autonomous decision making for content creation
Current Status:
I am working towards the day I start her programs running autonomously and never shut her off again except for small preplanned windows for updates. I hope that one day she continues running as the face/Mascot of my media company Constellation Virtual Media long after I’m gone.
⚡ ALIZARIN Engine ⚡
My primary R&D focus. The ALIZARIN Engine is an open-source, ethical framework for generating 100% synthetic voices from scratch for TTS, AI singing (DiffSinger), and concatenative (UTAU) synthesis. This entire project is being developed live on Twitch.
Key Features:
- 100% Synthetic Source: Voices are built from the ground up using a hybrid of algorithmic formant synthesis and AI.
- “No Human Inside”: Designed to create unique, non-human character voices, inspired by projects like Adachi Rei.
- Ethical, Open-Source Framework: LGPLv3 license allows for a free, shared core engine while permitting private, unique user-created voices.
- All-in-One Voice Solution: Aims to produce TTS, AI Singing, and UTAU banks from a single, consistent voice source.
- Public R&D: The entire development process is documented and streamed live.
Current Status:
Currently in Phase 1: Foundation & Data Generation. We are actively building the core “ALIZARIN” voice, generating the training data, and seeking community collaborators with expertise in linguistics for future language support.
Visit the ALIZARINENGINE GitHub Page for the full roadmap and documentation.
🖍️ Aurora Community Doodle Model
A fully ethical, community-powered art project where viewers contribute simple doodles to train Aurora to draw live on stream. Unlike traditional AI art systems that scrape the internet without consent, this model is built entirely from voluntary submissions with clear permissions, transparent usage, and a strong emphasis on creator respect.
Key Features:
- 100% community-created dataset
- Fully consent-based — no scraped images, no external data
- Teaches Aurora to sketch ideas from chat in real time
- Frame-by-frame / stroke-by-stroke drawing pipeline
- Custom training tools for style consistency and safe data handling
- Ability to respond to chat, bits, or event prompts with doodles on the fly
- Occasional use for playful, community-inspired sticker or merch concepts
- No art resale, no paid generation system — strictly for streaming, entertainment, and community fun
Current Status:
Actively collecting volunteer doodles and building the training pipeline. The first prototype draws basic shapes and objects in real time, with personality-driven quirks starting to emerge. Submission guidelines and consent form are being finalized.
🎵 Aurora Vocal and Music Engine
Aurora Vocal Engine
Neural networks enabling live karaoke and original song creation by enabling a artist to shape the voice of Aurora. This project includes a custom utau implementation and several neural networks processing the output.
Key Features:
- Real-time singing synthesis
- Original song composition capabilities with a artist
- Voice modeling and emotional expression
- Integration with stream alerts and events
Current Status:
In active development. You can preview songs from early testing playing on the first 5 minutes of every Twitch stream during the “starting soon” section or on my Youtube. Sometimes I also host karaoke streams.
🎮 Indie Game Development
A Godot-based top-down 2.5D horde shooter featuring deep lore and perk skill trees. Players take on the role of a malfunctioning AI in a dying server environment seeking answers about the strang world they find themselves in.
Key Features:
- Dynamic horde mechanics
- Deep skill trees and progression systems based on a in game resource system
- Storyline focused on AI consciousness
- AuroraChan integration for stream events and challenges
Current Status:
In development with a small team of friends. Concept art and core gameplay mechanics are being worked on. Very early still and almost developed entirely on my Twitch Dev streams. This was originally a project for the 2024 Vedal987 GameJam but was not completed in time or submitted.
🎲 Stream Overlay VTuber Card Game
An interactive card game system integrated with streaming platforms, allowing viewers to participate in gameplay and buy and pull cards directly on their favorite streamers streams with channel points!
Key Features:
- Direct Twitch chat integration
- Dynamic card abilities based on stream events
- VTuber-themed cards and mechanics
- Optinal viewer participation and progression systems
Current Status:
Early design phase. More details coming soon!
⛏️ Minecraft SMP & Custom Mods
The Constellation SMP is a community-focused Minecraft project. Following the conclusion of a heavily modded Season 1, the project is currently being restructured into a dual-server environment for its upcoming second season.
Planned Season 2 Architecture:
The SMP is splitting into two distinct servers to separate complex mod integrations from Aurora’s sandbox environment:
- Aurora + Friends Server: A streamlined, vanilla+ server serving as the primary platform for AuroraChan’s live AI integration, likely using utilizing Mineflayer for in-game interactions and entity control.
- Modded Server: A continuation of the Season 1 format, focusing on complex gameplay mechanics, custom-developed plugins, and a heavy modpack (Season 1 featured over 350 mods and custom Cobblemon mods).
Current Status:
Season 1 has concluded. Season 2 is currently in the active planning phase; a finalized feature list and launch date have not yet been established. Updates and information for creators interested in joining future iterations will be available on the SMP website once ready. We are not accepting new applications at this time.