Hello. I am Hossam Fadil aka PHENOMENAL.
Aspiring Data Engineer
& Web Developer
I excel at crafting innovative solutions and delivering high quality results.
Always eager to learn and grow, I aim to contribute to impactful, challenging projects.
I have a powerful passion which is why i am also working in
3D Modeling & Video Graphics.
MY WORK
AI Vacation Planner
A web application which leverages the power of AI in order to find the right vacation plan that suits the user needs. It solves the problem of finding/creating the right vacation plan that may take decades and a lot of research and this without forgetting how good the user in looking for the information in the internet. It offers a wide range of features to increase the user experience and to make the vacation planning process easier and more enjoyable and secure.
GradeVault's BackEnd
The backend of a web application designed to streamline the management process at ENSA Khouribga. Implemented a RESTful API using Spring Boot, it automates administrative tasks and simplifies academic management. The system allows the administration to efficiently handle various operations, while professors can use it to manage students' grades for the courses they teach. Its front-end is built using nextjs and typescript.
Fetal Health Classification
A ml model that classifies the health of a fetus based on a real data. It leverages the algorithm of Logistic Regression to predict the health of the fetus. Based on the used dataset, the fetus can be classified into 3 classes: Normal, Suspect and Pathological. The precision of the model is (94% for N, 85% for S, 90% for P)
Laptop Price Prediction
Aims to predict laptop prices based on key specifications such as processor type, RAM size, storage capacity, and brand. It uses a dataset containing various laptop configurations and their corresponding prices. A linear regression model is trained to identify relationships between features and price. The process of developing this model was divided into multiples steps: data preprocessing, feature selection, model training, and evaluation.
Meet The Team
An instagram video for the team responsible of organizing the Dataverse event.
