You will get an AI multi-agent system with web react UI to interact with social media
Project details
This project is a full-stack, multi-platform social media automation suite: a React dashboard drives a FastAPI + CrewAI backend that spins up customizable agent pipelines to research, plan, write, SEO-optimize, review, export and publish content not just to LinkedIn but Instagram, facebook, TikTok and beyond. You get:
Trend-Driven Content: topic-scoped trend fetching (Serper)
Multi-Agent Workflow: YAML-configured agents for each step
Local LLMs: Ollama/(Any LLM) for private, fast text (and image) generation
Dynamic Dashboards: create or schedule posts, preview drafts, publish, and view live metrics
Archiving & Audit: timestamped Markdown/JSON logs for compliance
Trend-Driven Content: topic-scoped trend fetching (Serper)
Multi-Agent Workflow: YAML-configured agents for each step
Local LLMs: Ollama/(Any LLM) for private, fast text (and image) generation
Dynamic Dashboards: create or schedule posts, preview drafts, publish, and view live metrics
Archiving & Audit: timestamped Markdown/JSON logs for compliance
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$300
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 0 | 1 | 3 |
Number of Pages | 1 | 2 | 5 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Additional Page
(+ 1 Day)
+$50About Noureddine
AI Engineer & Python Full-Stack Developer
Rabat, Morocco - 5:15 am local time
What I deliver
Production LLM microservices (prompt-processing, caching, rate limiting, vector search)
Multi-agent automation platforms that research, generate, and publish content automatically
Scalable FastAPI/Flask backends, REST/GraphQL APIs, and secure integrations
Dashboards and analytics for model outputs, token usage, and pipeline monitoring
End-to-end automation toolkits: scheduled workflows, scraping, ETL, background workers
Tech stack
Python • FastAPI • Flask • PostgreSQL • Redis • Vector DBs • Docker • Git • React / Next.js • Tailwind • Node.js • SQL • CI/CD
How I work
Start by understanding the outcome and success metrics for your product.
Design an API-first, secure architecture with automated tests and CI/CD.
Iterate quickly with small, demoable milestones and measurable KPIs.
Deliver production ops-ready code and clear handoff docs.
Featured results
Built LLM microservices with request caching and vector search for faster, cheaper responses.
Launched multi-agent content pipelines that integrate LLM outputs with publishing APIs.
Created dashboards to monitor model quality and reduce token waste by optimizing prompts.
Why hire me
Focus on shipping reliable, maintainable systems (not just prototypes).
Deep hands-on experience with LLM apps, prompt engineering, and automation.
Security and testing integrated from day one — you get a product that performs and scales.
Check my code and projects on GitHub
Interested? Send a message with a short description of your project and goals — I’ll propose a clear plan and the first milestone.
Steps for completing your project
After purchasing the project, send requirements so Noureddine can start the project.
Delivery time starts when Noureddine receives requirements from you.
Noureddine works on your project following the steps below.
Revisions may occur after the delivery date.
Your business needs
You describe what the idea
Work on the idea