📦 Stuff We Used
- Python
- Flask
- Bulma CSS
- HTML
- Matplotlib
- Numpy
- Requests
- Beautiful Soup
- ChatGPT API
- Google Maps API
- CSS
- JavaScript
- AWS EC2
📝 Project Description
Our project provides information to Northern Virginia Community College(NVCC) students about the safety of their school by campus. I used Beautiful Soup to scrape the NVCC crime logs for 2022, processed it with python and provided crime statistics. We also used ChatGPT API to provide a interactive chat about safety for students. My teammate used Matplotlib to provide graphs of crime data and predictions based on past crime data. We also used Google Maps API to provide a interactive map for the campus. Our data is at the bottom of our website for any student to parse through showing every crime commited in 2022 on a NVCC campus.
🪃 For the future:
- Fix ChatGPT API to give longer more in depth responses.
- Provide more crime statistics to NVCC students and add more years of data.
- Add more functionality.
- Set up DNS.
🚵 Who did what:
Jeffrey -> GitHub, Flask, Google Maps API, Front end styling with Bulma + HTML, Scraped Website with Beautiful Soup, Hosted with AWS EC2, Integrated ChatGPT API, Minor CSS, Intial Crime Statistics Processing
Soham -> Numpy and Matplotlib crime graphs, 8 bit buttons
Ethan -> Devpost, Numpy Matplotlib, styling
Sion -> Numpy, Matplotlib, 8 bit buttons