PARKitNOLA

Action Plan 

• Fully implement A.I. aspects into the app 

  • These aspects will likely come from preexisting plugins that IBM has created and can be readily applied to their apps through the Lite plan

• Use the data gathered from the crowd sourcing to guess the times that spots are filling up, or that people are leaving their spots

  • This aspect will require a machine learning plugin so that the app can change as the data set and information from the user changes 

• Predict a spot for the user, and the likelihood that it is open 

​

Resources 

• AI plugin 

  • Knowledge Catalog: Simplifies data science and data compliance. Make the data easy to find and share while controlling access to ensure appropriate use.(https://cloud.ibm.com/catalog/services/knowledge-catalog) 

    • Lite: free, limit to 1 catalog and 50 users, 50 assets 

  • Machine Learning: full-service IBM Cloud offering that makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. Set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes (https://cloud.ibm.com/catalog/services/machine-learning) 

    • Lite: free, 5,000 predictions, 50 capacity unit hours

  • Discovery: Add a cognitive search and content analytics engine to applications to identify patterns, trends and actionable insights that drive better decision-making. Securely unify structured and unstructured data with pre-enriched content, and use a simplified query language to eliminate the need for manual filtering of results. (https://cloud.ibm.com/catalog/services/discovery) 

    • Lite: free, up to 1,000 documents, 200 new queries per month