📡 OVERVIEW

IteraBeast is a modern, cyber-aesthetic web application designed to simplify and accelerate the process of generating large-scale synthetic datasets (.jsonl) for training and fine-tuning LLMs.

Engineered for AI Researchers, Data Scientists, and LLM Fine-tuners, this tool bridges the gap between raw prompt engineering and production-grade dataset creation. It transforms the chaotic task of data synthesis into a streamlined, visually immersive operation—perfect for building RAG pipelines, fine-tuning adapters (LoRA/QLoRA), or generating evaluation benchmarks.

By leveraging a dual-node architecture (FastAPI backend + React frontend), it allows developers to batch-generate diverse, context-aware conversational data across multiple LLM providers simultaneously.

⚡ CORE CAPABILITIES

🛠️ QUICK START

1. Backend Service (FastAPI)

cd backend
python -m venv .venv
# Activate virtual environment:
.venv\Scripts\activate # Windows (Command Prompt)
# .\.venv\Scripts\Activate.ps1 # Windows (PowerShell)
# source .venv/bin/activate # Linux/Mac
pip install -r requirements.txt
python main.py

API runs on http://localhost:8000

2. Frontend Client (React)

cd frontend
npm install
npm run dev

Interface accessible at http://localhost:5173

📁 ARCHITECTURE

IteraBeast/
├── backend/ # Async Server Node
│ ├── main.py # API Endpoints & Generators
│ └── requirements.txt # Dependencies
├── frontend/ # Client UI Node
│ ├── src/
│ │ ├── components/ # Interface Elements & Terminal
│ │ ├── App.jsx # State & Execution Logic
│ │ └── index.css # Styling & Animations
│ └── package.json
└── README.md

⚙️ REQUIREMENTS

• Python 3.9+
• Node.js 18+
• Chromium-based browser (Chrome/Edge) recommended for full FileSystemWritableFileStream support.