Public Sector – AWS Innovation Islands

Procurement Scope Builder

In today’s complex procurement landscape, creating comprehensive and accurate statements of work scopes can present a challenge for university procurement teams. Scope Builder uses generative AI to assist procurement specialists during the work scope development process, helping them produce detailed and comprehensive documents. Through a conversational AI interface, the system guides users through the process of creating work scopes, drawing from established best industry practices and relevant past contracts.

AWS services used:

AWS Lambda
Amazon API Gateway
Amazon Cognito
Amazon S3
Amazon Bedrock

Enrollment Prediction

Higley Unified School District serves approximately 13,500 students across 16 schools. Predicting school enrollment is crucial.

According to local school administrators, simply getting static predictions can cost as much as $20,000, an amount that can be a significant burden for the school districts and does not have the flexibility to accommodate changing circumstances.

The ASU Cloud Innovation Center created an open-source prototype to predict future enrollment and integrate real time data, such as attendance data to assess enrollment predictions. This solution uses a wide pool of data from various sources and provides analytics with an easy to use dashboard.

Open-source code: Download

PDF Accessibility

Many organizations have document collections containing hundreds of thousands of PDF documents, many of which do not meet the Web Content Accessibility Guidelines (WCAG) 2.1 Level AA standards, making it difficult or impossible for individuals relying on assistive technologies to access those documents. To address this issue, the ASU Cloud Innovation Center developed an innovative, artificial intelligence-driven solution designed to remediate documents. Some readily available remediation solutions cost $3-$15 dollars per page, but with this solution, expenses for AWS services are less than a penny per page.

AWS services used:

Amazon S3: Used to securely store and manage the documents being remediated
AWS Lambda: Automates the file processing workflows
ECS (Fargate): Handles document processing efficiently
AWS Step Functions: Coordinates the various processes involved in splitting, processing, and merging documents
Amazon Bedrock: Generates alt text for images and charts using advanced LLM capabilities

This solution also integrates Adobe Auto-Tag APIs which are designed to automatically clean metadata, apply appropriate tags, and further enable document remediation.

More information:

Compare Models

In a rapidly evolving AI landscape, employees may need to evaluate multiple large language models (LLMs) to determine which model is the best fit for a specific task. However, the process of testing and comparing different models can be cumbersome and inefficient. To streamline this process, the AI Cloud Innovation Center created a unified interface allowing employees to test and compare various LLMs available in AWS Bedrock with a single, intuitive platform.

My eCISO

The My eCISO project revolutionizes cybersecurity assessments by leveraging generative AI to assist organizations in strengthening their cyber resilience. Addressing the challenges posed by evolving cyber threats and the complexities of evaluating cybersecurity infrastructure, the Cal Poly Digital Transformation Hub (DxHub), powered by Amazon Web Services (AWS), developed an innovative AI-driven application. My eCISO automates the assessment process by conducting natural language interviews based on the NIST 1.1 framework, enabling organizations to accurately gauge their security posture and implement necessary safeguards. This tool significantly enhances operational efficiency and provides a robust, user-friendly approach to maintaining cybersecurity compliance.

Learn more:

Blog + Open Source Code

Query Police Reports

The CaseQuery Pro project transforms data access in the law enforcement sector by automating data ingestion across various formats, saving thousands of hours in manual data entry and analysis. Addressing the inefficiencies and delays caused by manual searches through extensive case data, CaseQuery Pro integrates AWS services to develop a user-friendly, conversational chatbot. This tool allows lawyers to quickly and securely access crucial case information, significantly enhancing operational efficiency and ensuring compliance with stringent legal data handling requirements.

9-1-1 Helper

The 911 Call Taker Classifier project revolutionizes emergency call handling by employing advanced AI to assist dispatchers in rapidly and accurately categorizing incoming calls. Addressing the critical need for accurate response categorization to prevent misclassification and delays, the DxHub team in collaboration with Seattle Police developed an innovative application. This tool analyzes the caller’s spoken words in real-time and displays the most probable police response category for 911 call takers in near real-time. By integrating AI technologies, the 911 Call Taker Classifier significantly enhances dispatcher efficiency and ensures timely and appropriate police responses, ultimately improving public safety outcomes.

Ask Your Websites

Ask SLO AI project revolutionizes information access on municipal websites by employing advanced semantic intent technology to enhance content discovery. Addressing the challenge of finding precise information on a city’s websites, the DxHub collaborated with the City of San Luis Obispo to develop an innovative application. This tool goes beyond simple web searches by reading through all pages on the city’s website and summarizing the most relevant answers while providing links to the original content. Ask SLO AI transforms the website’s content into an intuitive chat interface, enabling citizens to get direct answers to their questions efficiently, significantly improving user experience and accessibility.

Q&A Your Video

Discover this web application crafted to support video learning with interactive features and YouTube integration. Perfect for viewers wanting specific information without watching entire videos. This platform offers an interactive FAQ section that enhances user experience and engagement. With a clean, user-friendly interface, this application utilizes AWS services such as ECS Fargate, Bedrock, Transcribe, and S3 to deliver a smooth and efficient experience, making video content more accessible and engaging than ever before.

Ask Your Airport

Meet Airport GenerativeAI ChatBot, your go-to solution for all airport-related queries. This innovative chatbot provides both static information, like terminal details, and dynamic updates, such as current parking conditions and security check line traffic. By leveraging AWS Kendra for static data and AWS Lambda for real-time updates from airport’s public APIs, our chatbot ensures you have the latest information to plan your journey efficiently. Just ask, and get accurate, timely responses to make your travel experience seamless.