Sociolyte Social Media Automation
AI-powered social media automation
Sociolyte emerged from a challenge: social media shouldn't consume your day. Fueled by the ambition to turn content creation from a chore into an automated art, I crafted a platform where AI doesn't just assist - it orchestrates your entire social presence across platforms.
1 / 594% brand compliance on AI-generated images
50% faster campaign deployment
85% reduction in manual content operations
SnapshotAt a glance
Full Stack AI Engineer
5 months
94% brand compliance on AI-generated images
50% faster campaign deployment
85% reduction in manual content operations
99.9% uptime with Nginx load balancing
42% latency reduction
Technologies Used
7 Technologies Integrated
Impact
Key Features
Feature Implementation
Project Vision
Automate the entire social media lifecycle using AI.
Core Process
The process of Developing it.
Built modular AI pipelines and deployed with Docker + Nginx load balancer.
Build notesWhat I built
04Custom Diffusion Image Generation Model
Constructed a custom image generation model fine-tuned on company branding, achieving a 94% brand compliance score by utilizing Google Gemini API to optimize user prompts for stylistic consistency.
Production Content Automation Engine
Designed a production-grade content engine featuring speech-to-text input for rapid drafting and scheduling pipelines, accelerating campaign deployment by 50%.
Secure Backend and Infrastructure
Deployed a secure backend with role-based authentication (RBAC) and Dockerized microservices, reducing manual content operations by 85% while ensuring strict data privacy and access control.
High-Availability Load Balancing and Maker-Checker RBAC Workflow
Configured an Nginx load balancer with upstream failover across FastAPI instances, achieving 99.9% uptime and reducing latency by 42%. Deployed a KPI-driven Maker-Checker RBAC workflow, improving publishing accuracy by 60% and eliminating unauthorized deployments.
Manual social media workflows were inefficient and inconsistent.
Features
- AI-generated text & image content
- Multi-platform posting automation
- A/B content variation
- Hashtag & tone optimization
- Engagement analytics
Challenges
- Platform-specific constraints
- Rate limiting
