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An Application for Selling and Installing Private Electric Charging Stations in Customers' Homes for Electric Vehicles
SE-D-03
Yehia Nsasra; yehians@ac.sce.ac.il Nour Eddin Rabea; nourara@ac.sce.ac.il
Advisor: Dr. Alexander Churkin
SCE - Shamoon College of Engineering, Be’er-Sheva
This project focuses on developing an application for managing and locating electric vehicle (EV) charging stations. The app aims to help drivers easily find available charging points nearby, optimize charging times, and facilitate payments through the interface. It will also provide real-time information on the status of charging stations, charging costs, and maintenance schedules. As the use of electric vehicles increases, the need for accessible and efficient charging stations becomes crucial. Proper management of these stations can enhance user experience and encourage the adoption of electric vehicles, contributing to a cleaner environment and reduced air pollution.
Keywords: app, electric charging, electric vehicles, green transportation, station management
Wedding Planner
SE-D-04
Liav Maman; liav11maman@gmail.com Yair Eliyahu; yaireliyahu2013@gmail.com
Advisor: Dr. Alexander Churkin
SCE - Shamoon College of Engineering, Be’er-Sheva
Planning a wedding in Israel involves complex vendor and guest management. This project introduces a digital wedding planning platform using Next.js and TypeScript. Most couples still use Excel and notes, while the only existing app is mobile-only with limited features. This tool centralizes wedding planning, helping couples maintain organization and control throughout the process. Key features include guest management, task tracking, budget control, and preference settings. The MongoDB backend with Mongoose allows flexible data modeling. Simulations show a 45% reduction in guest management time and a 60% improvement in task tracking versus traditional methods. Current limitations include limited vendor integration, while future enhancements will incorporate AI-driven recommendations and automated messaging.
Keywords: ai recommendations, digital platform, guest management, mongodb, mongoose, next.js, typescript, ux/ui