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class Attributes(Yusuf) :
	@staticmethod
	def contact() -> tuple:
	    twitter = "kazu_rms"
	    facebook   = "aenir02"
	    
	    return facebook,twitter
	
	@staticmethod
	def life() -> tuple:
		langs = ['French', 'Spanish', 'English']
		
		
		return langs
	
	@staticmethod
	def coding() -> tuple:
		langs = {
			'expert':   ['python', 'bash', 'julia', 'R' ],
			'intermediate': ['go', 'c','c++'],
			'learning': ['js', 'c#', 'asm', 'java']
		}
		specialities  = ['web/app', 'reverse engineering', 'machine learning']
		environnement = ['jupyter']
		
		return langs, specialities, environnement

Skills

Yusuf's Projects

ai-nscanner icon ai-nscanner

AI-ScanPro is a revolutionary tool that combines the power of artificial intelligence with the well-known security tool, Nmap. Thanks to this innovative fusion, AI-ScanPro offers an unparalleled approach to vulnerability detection and network analysis.

ai-tic-tac-toe icon ai-tic-tac-toe

Artificial Intelligence based Tic Tac Toe made as a website in html, css and vanilla javascript

android-webview-app icon android-webview-app

A Simple To Use App That Shows Web Pages Within The App And Download Content Using Phone's Internal Downloader

cat icon cat

Voice over IP Android Application.

chatbot-flask icon chatbot-flask

A ChatBot is a computer program that conducts the conversation between the user and a computer by using textual or auditory means. It works as a real-world conversational partner.

chatdev icon chatdev

Create Customized Software using Natural Language Idea (through Multi-Agent Collaboration)

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cv-builder icon cv-builder

Currently a cv generator where you can design only one page

embedchain icon embedchain

Data platform for LLMs - Load, index, retrieve and sync any unstructured data

football_analysis icon football_analysis

This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos

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