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SajaALfahmi/README.md

Hi, I'm Saja Alfahmi 👋

AI Engineer • Full-Stack Developer • Building Intelligent Products

Typing SVG

About Me

I'm a Computer Science graduate from Umm Al-Qura University with a strong interest in Artificial Intelligence, Machine Learning, Data Science, and intelligent software products.

I enjoy turning ideas into practical solutions by combining software development, AI, data, and problem-solving.

My interests include:

  • Artificial Intelligence & Machine Learning
  • Data Science, Analysis & Visualization
  • AI Security & Cybersecurity
  • Full-Stack Development
  • Database Systems
  • Intelligent Applications

Featured Projects

QUIZORA

AI-Powered Adaptive Learning Platform

QUIZORA is an AI-powered adaptive learning platform designed for exam preparation and professional certifications.

The platform uses Bayesian Knowledge Tracing (BKT) to estimate learner mastery and dynamically adapt question difficulty based on performance.

✨ Key Features

  • Adaptive learning using Bayesian Knowledge Tracing
  • AI-powered question generation
  • AI chatbot for learning support
  • Qudrat & Tahsili preparation
  • Professional certification preparation
  • Learner progress tracking
  • Dynamic question difficulty
  • Arabic & English support
  • Supabase authentication
  • PostgreSQL database

Tech Stack

React TypeScript Vite Tailwind CSS

Supabase PostgreSQL OpenAI API

Machine Learning Bayesian Knowledge Tracing


RAQEEB

Innovative Technology Project

RAQEEB is an innovative technology project developed to address a real-world problem through a practical technological solution.

Recognition

  • 🥈 Silver Medal — Geneva International Exhibition of Inventions 2026
  • 🏅 China Delegation Honorable Mention

The project reflects a combination of innovation, engineering, and problem-solving, with a focus on developing a practical solution to a real-world challenge.


Emergency Call Classification

Naïve Bayes Machine Learning Project

A machine learning project that classifies emergency calls into:

  • 🔴 High Priority
  • 🟢 Low Priority

The project implements Bernoulli Naïve Bayes from scratch, including probability calculations and Laplace smoothing, followed by validation and comparison with Scikit-learn.

Technologies

Python Machine Learning Naïve Bayes

Scikit-learn Data Preprocessing Classification


Achievements

Achievement Result
🥇 Hajj Hackathon 1st Place
🥈 Geneva International Exhibition of Inventions 2026 Silver Medal
🏅 China Delegation Honorable Mention
ITU AI Readiness Hackathon Participant / Project Contributor

Experience

Smart Methods

Full Stack Robotics Engineer — 420-Hour Training Program

Gained hands-on experience across multiple technical areas:

  • Electronics & IoT
  • Web Development
  • Natural Language Processing
  • Robotics & AI
  • Mechanical Design
  • Full-Stack Robotic Engineering

NaqabaSA

Hybrid Internship

Worked with:

  • SQL Server
  • Database Systems
  • Power BI
  • Data Visualization
  • Dashboard Development
  • Data Reporting

Tech Stack

Programming Languages

Frontend

AI / Data

Machine Learning Generative AI OpenAI API

Bayesian Knowledge Tracing Power BI Excel

Databases

SQL SQL Server PostgreSQL

Tools


🌱 Currently Learning

I'm currently expanding my knowledge and strengthening my skills in:

Artificial Intelligence
        ↓
Machine Learning
        ↓
Data Science & Data Analysis
        ↓
Advanced Programming & Data Structures
        ↓
AI Security & Cybersecurity

Areas of Interest

Artificial Intelligence

Machine Learning

Data Science

Data Analysis & Visualization

AI Security

Cybersecurity

Full-Stack Development

Database Systems

Intelligent Applications


Let's Connect


✨ Building. Learning. Innovating.


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