IncidentExposed
Protecting Fellow Students
Soham:
Web Scraping
Debarshi:
Map Generation
Ishan: Front-End Design
Yash:
Data Frame Engineer
Keep Students Safe
Raise Awareness
Boost Security
Facilitate Communication
Accessibility
Our Mission
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Process & What We Learned
Gather Data
Generate Map
Process Data
IncidentExposed
Learned to web scrape using the BeautifulSoup and Requests libraries to obtain and store data in CSV files using the CSV library
We generated pins on a map using the Python Folium library, where pins were coded by crime/incident severity.
Used Pandas and Google Maps API to create dataframes with information ready to be mapped, such as exact addresses and coordinates
We created a webapp using Figma, where we embedded our concentration map functionality
We’ll now take a quick look at our product… IncidentExposed
Expansion:
Move towards other campuses and generate similar statistics to include the entirety of the nation
Hopes for the Future
Real-Time Update
Specific Information
Increase speed and automation of updates to create alerts the moment an incident is reported
Provide better information about the incident using analytical graphs and charts.
Applications
Red-Zones
Generate Stats
Deter Crime
Find areas where incidents are more frequent to happen, and warn people of “red-zones”
Create statistics on various locations around College Park in order to investigate and solve social issues
Allow Law-Enforcement and UMPD to see a visual representation of all incidents in order to better serve the public