Autonomous Multi-Modal Social Media Campaign Engine

The Problem

Small businesses often struggle to translate a single product concept into a consistent, multi-day social media strategy. Manual campaign creation is time-consuming, while standard AI tools often lack the structural awareness required for professional formatting.

The Solution

Echo Bsmart acts as an automated creative director. It creates a complete social media campaign from a single interaction. The system ingests heterogeneous data inputs—including text briefs, product photography, and stylistic references—and synthesizes them into a cohesive schedule of posts, complete with captions, visual concepts, and platform-specific formatting.

Technical Architecture

Unlike open-ended chat models, Echo functions as a structured multi-modal pipeline. It utilizes a logic layer to enforce strict output constraints, ensuring that generated content adheres to specific parameters such as campaign duration (e.g., 7-day schedules) and format requirements. The system processes visual and textual reasoning in parallel, which successfully reduced the generation latency by 30% compared to sequential processing models.

Core Stack

Python, Generative AI, Computer Vision, System Architecture.