Arwa Elmalky
@arwaelmalkyLanguage Breakdown
Lines of code distribution across 12 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
12
PRs
0
Growth
+18%
Top Collaborators
No collaborator data yet.
Coding Streak
Contribution activity over the past year
Ahmed Khattab
@Ahmed205096
Abdelrhman Ghaly
@abdelrhmanghaly-whp
Reem Sayed
@reem221
Ali Ayman
@ali2yman
Mohamed Massoud
@MohamedMassoud10
Top Repositories
The project employs ESP32 to monitor soil moisture, temperature, and humidity, displaying data remotely via a web interface. It emphasizes energy efficiency and customizable alerts, with potential enhancements like solar power and automated irrigation. Ideal for agriculture and environmental tracking.
The face recognition project aims to develop an intelligent system that uses AI techniques to accurately recognize faces, enhancing security and personal verification processes. The project relies on image analysis and feature extraction to distinguish faces quickly and precisely.
This project aims to create a dynamic 3D cube using Python. The primary objective is to design a cube that can rotate and move within a defined space, providing an interactive and visually appealing experience. Leveraging Python’s graphical libraries, the project seeks to achieve realistic 3D visual effects and smooth user interactions.
An AI-based system that uses real-time traffic data to optimize signal timings, reduce congestion, and improve traffic flow. It detects incidents, predicts traffic patterns, and supports smart city infrastructure.
This project focuses on the early detection of Autism Spectrum Disorder (ASD) in toddlers aged 18 to 36 months using machine learning techniques. The dataset is based on responses to the Q-CHAT-10 screening tool, along with demographic information like age, gender, and family history.
This JavaScript project dynamically creates cards displaying names, ages, and images from arrays. Using the getelement function, it generates and styles HTML elements, then appends them to the page. The project demonstrates DOM manipulation, dynamic content generation, and basic CSS styling techniques.
This project utilizes the Pima Indians Diabetes Database to analyze and predict diabetes using machine learning techniques. It includes data preprocessing, feature extraction, and building predictive models to assess the risk of diabetes based on medical attributes.
Open Source Impact
Contributions to external projects
No external contributions found.