When Theory Meets Practice: Graph Theory in Paris Metro case, 2024-2025
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            Updated
            Jun 27, 2025 
When Theory Meets Practice: Graph Theory in Paris Metro case, 2024-2025
Analysis of Goal 8 of Agenda 2030. Final task for my class of Sample Survey by prof Stefania Capecchi in Napoli
Bitcoin Tweet Sentiment & Topic Analysis
This is the official implementation of "Streamed optical flow adaptation from synthetic to real dental scenes"
This project leverages real-time data from Ile-de-France Mobilités (IDFM) to provide an efficient metro navigation system for Paris and Bordeaux (using a simplified dataset). It utilizes graph algorithms to calculate shortest paths, visualize the minimum spanning tree of the metro network, and check network connectivity.
🎮 Production-ready analytics dashboard for mobile games analyzing real player behavior data from 40,034 players. Features interactive visualizations for retention analysis, churn prediction, engagement tracking, and funnel optimization.
This project applies hierarchical clustering to group car models by attributes like horsepower, price, and fuel efficiency. It involves data preprocessing, cluster analysis, and visualization to reveal patterns and relationships, offering insights into car characteristics and their market positioning.
Projects made to fully understand Databases, from modelling to using them with SQL queries.
Statistical Modeling I
Dijkstra algorithm to find route information between two building in birzeit university chosen by the user. The user will be shown the street route that results in the lowest distance.
AI-powered Warehouse Management System for commercial-scale logistics and inventory tracking. it is contain of Full-stack warehouse database system with 25 smart SQL queries, real-time parameter control via web panel, and business-ready architecture. Originally built in 2016, now restructured for commercial deployment.
Statistical Modeling II
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