AIMP AI System Architecture

Component	Submodule / Function	Description
AIMP Vision Engine	AI-Powered Object Tagging	Identifies and tags objects in images using computer vision models.
	Smart Image Categorization	Automatically classifies images into relevant categories based on content.
	Visual-Based Q&A System	Answers user questions by analyzing image context.
	AI Visual Caption Generator	Generates descriptive captions for images.
AIMP Language Models (LLM/API)	AIMP.DOC_READER	Reads and extracts information from uploaded documents (e.g., PDFs, Word).
	AIMP.AUDIO_ENGINE	Transcribes and interprets audio input for further processing.
AI Generation Engine	AIMP.EMBED_CONTENT	Embeds text, image, or multimodal data into high-dimensional representations.
	AIMP.GENERATE_TEXT	Generates human-like text based on prompts or context.
Content Understanding Module	AIMP.ANALYZE_INPUT	Analyzes user or system-generated input to extract intent, topics, and context.
Multi-Language Translation	AIMP.TRANSLATE	Translates content into multiple languages, preserving tone and meaning.
AIMP Intelligence Models	AIMP.PREDICT	Makes predictions based on historical or real-time data.
	AIMP.RECOMMEND	Suggests content, actions, or items to users using ML algorithms.
	AIMP.FORECAST	Projects trends or metrics into the future using time-series models.
	AIMP.DETECT_TRENDS	Identifies emerging patterns, behaviors, or data spikes.
Outputs	AI-driven multimedia embedding	Generates embeddings for text, image, and video content.
	AI text representation modeling	Converts raw text into vector formats for deeper analysis.
	Automated creation	Generates content like images, videos, or code automatically.
	Content summarization	Condenses content into concise versions (e.g., scripts, posts).
	Metadata enrichment	Adds tags, labels, and additional context to enhance data.
	Contextual rewording	Rewrites content to match tone or style.
	Community sentiment analysis	Analyzes public sentiment on social content.
	Keyword & topic extraction	Pulls relevant terms and subjects from content.
	Language structure analysis	Performs syntax, grammar, and linguistic structure parsing.
	Multi-language content adaptation	Adjusts content for different languages and cultural contexts.
	Behavioral modeling & trend prediction	Detects user behavior patterns, content virality, staking trends, and engagement.
Final Output	AI-Generated Content → Blockchain Ready Data	Converts AI output into formats ready for on-chain storage or interaction.