Finding parking in busy cities is stressful. Out of a sample of drivers in Seattle, 83% stated that they prefer public street parking to paid garages or lots, citing the significantly lower cost-per-hour and proximity to their intended destination. However, repeatedly circling an area for parking creates anxiety, increases traffic congestion, and pollutes the environment; consuming both time and gas. Gradient aims to streamline the street parking experience by leveraging civic parking data, crowdsourced user-input, and machine learning to predict the availability of nearby public street parking in real-time.