Projects | Youssef Ben Moussa

MindsetOS

AI Coaching Platform with Multi-Agent Orchestration

MindsetOS represents a cutting-edge approach to AI-powered personal coaching, leveraging multi-agent orchestration to provide comprehensive support across fitness, nutrition, and mental health domains. The system employs a sophisticated architecture where specialized agents communicate through a central orchestrator, enabling context-aware responses and personalized recommendations.

Technology Stack

Python

FastAPI

OpenAI API

mem0

Prompt Engineering

Docker

Key Features

Multi-agent orchestration based on user intent recognition
RAG pipeline for personalized, context-aware answers using vector databases
In-memory vector database with dynamic memory injection via mem0
Modular FastAPI backend architecture with microservices design
Dual interface: Terminal CLI and web-based dashboard
Real-time agent communication and task delegation
Persistent user context and conversation history
Dockerized deployment with scalable container orchestration

Technical Highlights

Intent Classification: Custom NLP models for understanding user queries across different coaching domains
Memory Management: Advanced vector storage system using mem0 for context persistence
Agent Architecture: Modular design with specialized agents for fitness, nutrition, and mental health
API Design: RESTful FastAPI implementation with automatic documentation and validation
Deployment: Docker containers with health checks and monitoring capabilities

Vision Strategy Agent

Automated Social Media Insight via Visual AI

The Vision Strategy Agent leverages advanced computer vision and natural language processing to automate the analysis of social media content. This tool provides marketing teams with comprehensive insights into competitor strategies, content performance patterns, and audience engagement metrics through automated profile analysis.

Technology Stack

Python

OpenCV

CLIP/BLIP

Selenium

Pandas

Docker

Key Features

Computer Vision analysis for content type detection and visual trends
Advanced text extraction from images using OCR and CLIP/BLIP models
Automated hashtag and caption analysis with sentiment scoring
KPI scraping including followers, engagement rates, and posting frequency
Comprehensive profiling pipeline with data validation and cleaning
Export capabilities to CSV, JSON, and dashboard-ready formats
Batch processing for multiple profiles and comparative analysis
Dockerized CLI tool with configurable scraping parameters

Technical Highlights

Computer Vision: Integration of CLIP and BLIP models for image understanding and description generation
Web Scraping: Robust Selenium-based automation with anti-detection measures
Data Pipeline: Pandas-powered data processing with statistical analysis capabilities
Performance: Optimized for large-scale analysis with parallel processing
Deployment: Container-based architecture for consistent cross-platform execution

ZenPocket AI

Full-Stack Productivity App with Integrated AI Assistant

ZenPocket AI combines modern web development practices with artificial intelligence to create a comprehensive productivity platform. The application features a clean, intuitive interface built with Next.js 14 and enhanced with smooth animations, while the AI assistant provides intelligent content organization and contextual assistance.

Technology Stack

Next.js 14

Tailwind CSS

Framer Motion

Node.js

LLM API

Docker

Key Features

Modern responsive frontend with fluid animations and micro-interactions
Secure authentication system with role-based access control
AI assistant powered by OpenAI or Claude API for content intelligence
Smart note organization with AI-powered tagging and categorization
Task management with intelligent priority suggestions
Real-time synchronization across devices and platforms
API-first backend architecture with comprehensive endpoint documentation
Dockerized development and production environments for consistent deployment

Technical Highlights

Frontend Architecture: Next.js 14 with App Router and React Server Components
Styling: Tailwind CSS with custom design system and dark mode support
Animations: Framer Motion for smooth transitions and engaging user interactions
AI Integration: LLM API integration with context management and conversation history
Backend: Node.js with Express and database integration for data persistence
DevOps: Docker compose setup with hot reload for development efficiency

Enterprise Automation Suite

Desktop Software for SMEs

The Enterprise Automation Suite represents a comprehensive solution for small and medium enterprises seeking to digitize and optimize their operational workflows. Built with C# and .NET technologies, this desktop application suite addresses critical business processes through interconnected modules designed for maximum efficiency and user adoption.

Technology Stack

C#

.NET

Windows Forms

SQL Server

Docker

Key Features

Role-based user interface tailored for HR and logistics departments
Custom workflow automations designed specifically for business requirements
Integrated reporting system with export capabilities to multiple formats
Real-time data synchronization across all application modules
Advanced employee scheduling with conflict detection and optimization
Warehouse inventory management with barcode scanning integration
Time tracking with productivity analytics and reporting dashboards
On-premise deployment with Docker-based distribution and updates

Technical Highlights

Desktop Architecture: Windows Forms application with modular plugin architecture
Database Design: SQL Server with optimized schemas for enterprise-scale data
Security: Role-based access control with encrypted data storage
Integration: Barcode scanner APIs and external system connectivity
Deployment: Docker containers for simplified installation and maintenance
Maintenance: Automated update system with rollback capabilities

Technical Projects

Technology Stack

Key Features

Technical Highlights

Technology Stack

Key Features

Technical Highlights

Technology Stack

Key Features

Technical Highlights

Technology Stack

Key Features

Technical Highlights