A modern note taking app inspired by the Microsoft Todo app, made with React. The project was used as a way to practice React Router, Context and Reducers. Features like changing the language, saving the notes on the backend (with Nodejs) are coming soon. The source code is available on my Github.
A data analytics system that aims to reduce the congestion of students in campus restaurants and reduce waiting time by checking in real time the best time to order food on their phones. The system optimizes the restaurants’ inventory, time management and order-handling by providing insightful and detailed analytics through a web interface dashboard.
The mobile component of the data analytics system enables student to order directly from their phones, check the available items as well as the waiting time for each product offered by the restaurant of their choise. Student also have access to their own dashboard which contains insightful analytics about their spendings, activity, restaurant points.
This is API of the Restaurant Management Congestion Analytics system developed with ASP.NET Core API (C#). The API acts as an intermediary between the mobile and web application, and the database.
This project is about building a data pipeline to move network traces from a dataset to a Neo4J data store using Python. Each trace over TCP and UDP as well as their subtraces (ARP and ICMP) need to be modelized and stored in Neo4J. The purpose is to visualize each sender and receiver as Nodes, as well as the type of the protocol used as a relationship.
A data analysis and visualization project about the state of the epidemic in Morocco, cluster infections in each region and evaluating the measures and efforts taken by the Moroccan government from the beginning of the confinement. The Medium article highlights the different tools, methods, technologies and datasetes used in each step of the analysis.