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CusePULSE uses data-driven mapping to analyze inefficiencies in resource distribution relative to its department, creating a Syracuse with essential services placed precisely where they are needed.
This is the dataset of the the different agencies in different areas of Parking Violations.
This project predicts city service needs using AI, identifying sewer backup hotspots (sewagelocs.png), trends (mostbackups.png), and model accuracy (modelmetrics.png) to improve urban planning.
Enhancing city services with data-driven insights—predicting and optimising response times for a smarter, more efficient urban experience.
Data analysis and extracting insights from the syracuse city open data
See the bigger picture of parking tickets
Seeing if tickets given increases at the end of a month
Learn more about the app Syracuse NY uses to connect with its citizens. https://github.com/nicktheslumpgod/CuseHacksDatathon2025
This analysis explores how efficiently Syracuse handles municipal complaints through the SYRCityline dataset, which contains reports on non-emergency issues submitted by residents.
We are a group of computer engineering and computer science students competing in the first CuseHacks Datathon!
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