Project Overview

TikTok-Forge is an innovative autonomous agent system that transforms text content into engaging TikTok videos through a sophisticated AI-orchestrated pipeline. By leveraging multiple AI models and modern technologies, it automates the entire video creation process from script generation to final rendering.

Architecture Flow

flowchart TD
    A[<b><font size="5">📚 NocoDB</font></b><br><i><font size="4">Content Management</font></i>]:::database --> B[<b><font size="5">📝 Text Content/Blog</font></b>]
    B --> C[<b><font size="5">🤖 GPT-4/Llama</font></b><br><i><font size="4">Script Generation</font></i>]:::ai
    C --> D[<b><font size="5">🎬 Scene Generation</font></b>]:::process
    D --> E[<b><font size="5">🖼️ DALL-E 3</font></b><br><i><font size="4">Image Generation</font></i>]:::ai
    D --> F[<b><font size="5">📂 Stock Asset API</font></b><br><i><font size="4">Video/Image Search</font></i>]:::api
    D --> G[<b><font size="5">🎙️ ElevenLabs/Speechify</font></b><br><i><font size="4">Audio Generation</font></i>]:::ai
    E --> H[<b><font size="5">🗄️ MinIO</font></b><br><i><font size="4">Asset Storage</font></i>]:::database
    F --> H
    G --> H
    H --> I[<b><font size="5">🎥 Remotion</font></b><br><i><font size="4">Video Templates</font></i>]:::process
    I --> J[<b><font size="5">⚙️ Flask API</font></b><br><i><font size="4">Orchestration</font></i>]:::api
    J --> K[<b><font size="5">🤹 n8n</font></b><br><i><font size="4">Workflow Automation</font></i>]:::process
    K --> A

    classDef database fill:#ffebee,stroke:#c62828,color:#c62828,shape:cylinder
    classDef ai fill:#e3f2fd,stroke:#1976d2,color:#1976d2
    classDef api fill:#f3e5f5,stroke:#9c27b0,color:#9c27b0
    classDef process fill:#e8f5e9,stroke:#2e7d32,color:#2e7d32

Innovation Highlights

Autonomous Content Transformation

• Converts long-form content into TikTok-optimized scripts using advanced LLMs
• Intelligent scene decomposition and storyboarding
• Automated asset generation and selection

Multi-Modal AI Integration

• Seamless orchestration of text, image, and audio AI models
• Smart template matching for scene composition
• Automated quality assurance and content verification

Scalable Architecture

• Microservices-based design with robust asset management
• Event-driven workflow automation
• Extensible template system for various content styles

Technical Implementation

The system operates through several coordinated layers:

Content Management Layer

• NocoDB for structured content storage and tracking
• Version control and content state management
• Progress tracking and analytics

AI Processing Layer

• LangChain for sophisticated prompt engineering and model coordination
• GPT-4/Llama for script generation and scene planning
• DALL-E 3 for custom image generation
• Integration with stock asset APIs for video/image sourcing
• ElevenLabs/Speechify for voice synthesis

Asset Management Layer

• MinIO for scalable object storage
• Automated asset tagging and categorization
• Version control for generated assets

Video Composition Layer

• Remotion for programmatic video generation
• Template-based scene composition
• Flask API for service orchestration
• n8n for workflow automation and error handling

Innovative Aspects

Autonomous Decision Making

• Smart scene selection based on content context
• Automated style matching for visual consistency
• Dynamic template selection based on content type

Adaptive Content Processing

• Content-aware scene decomposition
• Intelligent asset selection and generation
• Automated pacing and timing optimization

Extensible Framework

• Pluggable AI model architecture
• Customizable template system
• Scalable processing pipeline