Information system for state events - HIT
At state events, one of the common practices is for people to visit places of commemoration to show respect to the fallen. By doing so, these places become very crowded with families, friends, and representatives from different places. As a result, there is a lot of congestion in these areas. This overcrowding situation can prevent families from attending these places or even cause them to avoid it due to the high density of representatives from different places. Additionally, another problem arises from not knowing the amount of people coming; the people who bring the flowers and water supplies don’t know how much to bring. Evaluating the quantities of these amenities becomes increasingly difficult as the number of visitors increases each year.
To address these issues, we propose creating an information system with an algorithm that allows the families to specify how many people will be attending, and in this way, the algorithm will calculate how many representatives should attend.
Challenge #1: How are you going to keep the information in the system?
Within Government facilities, keeping personal information safe is extremely important. It is essential to preserve the personal details of the people who work there, their first names, addresses, phone numbers, and so on. Especially for highly classified entitles, whose information is very important and cannot risk being compromised. We need to build a security system that can hold all of this highly sensitive information, ensuring there will be no risk of any potential information leaks.
Challenge #2: Which algorithm will you construct to perform integration of the information?
We will have to create a system that will include three main data sources:
- · Commemoration locations and cemeteries
- · The families’ details
- · Data related to the representatives from different places
Once we have this information, we will create a web/mobile app through which families will be able to report how many people are coming with them. With this information, each place will show a close estimate of how many people are coming to that exact location, reducing crowds. The algorithm will also calculate which event is closer to you, so people don’t have to drive farther than what is necessary. These details will reduce congestion both at the events and on the roads surrounding them.
Author
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Solutions will be evaluated by Rotem Gorel, Sapir Shahar, and Sapir Kudler. Evaluation will be carried out based on the following criteria:
- Safety and security
- Feasibility and practicality
- Suitability
- Cost-effectiveness
Credit to Holon Institute of Technology students