elouardyabderrahim's repositories
background_remover
This project is a powerful and user-friendly solution for removing backgrounds from photos. It utilizes the "rembg" Python library combined with FastAPI to build a robust API that can seamlessly remove backgrounds from images. The front-end is developed using React to create an intuitive user interface for uploading and processing images.
Analysis-of-user-interactions-data-on-the-Mastodon-platform
This project aims to analyze social media data to gather insights into user engagement, content popularity, etc. It utilizes MapReduce for data processing, stores the results in HBase, and orchestrates the workflow with Apache Airflow.
integration-et-gestion-des-donnees-de-transport-public-avec-azure
Ce projet vise à collecter, transformer et gérer les données de transport public en utilisant les services Azure tels que Azure Data Lake Storage Gen2 et Azure Databricks.
VilleFutur-Projet-Entrepot-de-Donnees-Meteorologiques-sur-Azure
Ce projet vise à collecter, modéliser, intégrer et gérer des données météorologiques historiques pour la ville fictive de VilleFutur.
execl-file-and-dataBase
How to fill the file from a data base and the opposite.
fullstackopen
this repository is dedecated to learn React .
MyGallery-Project-Spring
MyGallery is a Web application created to help the user to manage files.
Development-of-a-Real-Time-Movie-Recommendation-Pipeline
The project aims to design and implement a real-time movie recommendation system using the EK Stack (Elasticsearch and Kibana), Kafka, and a personalized recommendation API to enhance the user experience on Jay-Zz Entertainment's streaming platform.
Development-of-a-Real-Time-Movie-Recommendation-Pipeline-java
The project aims to design and implement a real-time movie recommendation system using the EK Stack (Elasticsearch and Kibana), Kafka, and a personalized recommendation API to enhance the user experience on Jay-Zz Entertainment's streaming platform.
dynamics-analysis-of-restaurant-reviews-with-azure
This project aims to create a robust data pipeline using Azure services for storing, processing, and analyzing restaurant reviews. It leverages Azure Cosmos DB, Azure Functions, Azure Cognitive Services, and Azure Logic Apps, while ensuring strict adherence to data governance principles and GDPR compliance.
fraud-detection-in-financial-transactions
FinTech Innovations faces a rising challenge of fraudulent transactions impacting trust and causing financial losses. We propose a real-time fraud detection system analyzing transactional, customer, and external data to minimize false alerts.
github-management-workshop
the goal of this project is to better manage your github projects in a team or by your self .
real-time-analysis-of-film-reviews-with-Kafka-and-Memgraph
This project develops a real-time film review analysis system using Kafka for data streams and Memgraph for the graph database. It processes reviews, generates film recommendations with Cypher queries, blending real-time data processing and graph analysis for insights.
realtime-log-analysis-azure
This project builds a real-time data pipeline for ingesting, processing, and analyzing logs from a web or mobile app. It leverages Azure Event Hub for data ingestion and Apache Spark on Azure Databricks for processing and analysis. The system monitors application performance, detects anomalies, analyzes user behavior, and enhances security.