Othmen Mhiri

Wishify : Turn Dreams Into Reality
Wishify is a modern, user-friendly web app that helps users create, organize, and share digital wishlists. Whether it’s for birthdays, holidays, or personal goals, users can express their dreams and share them with loved ones effortlessly.

Key Features:
Wishlist Creation: Add wishes with images, details, and priority levels
Privacy & Sharing: Private by default, share via link or social media
Discovery & Connection: Explore public wishlists and connect with others
User Profiles: Custom avatars, social features, and public wish showcases

Tech Stack:
Built with the MERN stack (MongoDB, Express.js, React, Node.js)
Frontend: React, responsive design, smooth animations, real-time interactions
Backend: Secure API for auth, wish management, image uploads, and social features

The Difference:
Wishify focuses on human connection, privacy, and simplicity, making gift-giving more personal and joyful.

Added Real Time that will showcase later on
Working on deploying the website On AWS

🇹🇳 Tunisian Algorithm to C++ Translator
A compiler-style C++ program that translates Tunisian pseudocode into clean, compilable C++ source code.
Technologies Used:
- C++ for parsing and code generation
- File I/O for reading .tn pseudocode and writing .cpp output

Key Features:
- Supports variables, control flow, functions, procedures, and I/O
- Generates a complete executable C++ file automatically

Input/Output:
- Input: algo.tn
- Output: translated.cpp

Raw Pseudocode:

Translation:

Key Skills Demonstrated:
SIEM Monitoring & Analysis
Incident Response & Triage
Threat Intelligence & Phishing Analysis
Log & Network Traffic Analysis
False Positive / True Positive Classification
SOC Operations

Firewall alert:

Phishing alert:

Offense & Detection Labs (Purple Team Writeups)
A structured repository of cybersecurity lab writeups that connect offensive actions to defensive visibility.
Instead of step-by-step walkthroughs, each writeup explains what happened, why it matters, what logs/alerts it produces, and how to detect and mitigate it.
What This Project Demonstrates:
• Attacker mindset: exploitation, privilege escalation, credential abuse, misconfigurations
• Defender mindset: SIEM-style analysis, incident response thinking, detection opportunities, hardening
• Clear documentation: professional writeup structure and evidence-based reasoning

Writeup Structure (Consistent Format):
Context → What Happened → Detection (logs/alerts/IOCs) → Response → Prevention → Key Takeaways

Repository Layout:
Red Team: offensive labs and techniques (multi-step scenarios)
Blue Team: defensive analysis, alerts, and detection logic derived from SOC-oriented labs

Why It’s Different:
This repo focuses on connecting actions to observable signals — bridging the gap between “how an attack works” and “how defenders catch it.”

Ethics & Scope:
All content is based on controlled lab environments only. No real-world targets or sensitive data. View on GitHub

Discord Anti-Cheat Monitoring System
A real-time monitoring bot that streams players from multiple servers and analyzes their behavior to detect suspicious activity.

What It Does:
• Streams live players across servers using BattleMetrics API
• Analyzes player activity (K/D, kills, deaths, reports)
• Calculates a “hacker probability” score
• Flags suspicious players automatically
• Sends structured alerts to Discord with embeds

Detection Logic:
Combines multiple indicators:
• High K/D vs low playtime
• Reports and ban history
• Recent suspicious activity patterns

Tech Stack:
• Node.js + discord.js
• BattleMetrics API integration
• Modular backend architecture

Features:
• Role ping for high-risk players
• Multi-server monitoring
• Rate-limit safe streaming system

💡 Why It’s Interesting:
Demonstrates detection engineering thinking by connecting raw activity data to actionable security insights.