This Project Grant award for $3,999,999.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) creates StreamCI, an open-source streaming data platform designed to help researchers and users across industries harness massive sensor data streams more effectively using artificial intelligence (AI) and machine learning (ML). The StreamCI platform simplifies the collection, management, and analysis of sensor data streams in a user-friendly, cloud-based system accessible to the broad research community. It aims to lower technical barriers and make data AI-ready, empowering domain experts to build intelligent and responsive applications that drive faster discoveries and more effective solutions. The platform streamlines the entire workflow for sensor data streams, from capturing raw data to processing and applying suitable ML methods across different modalities. StreamCI is designed to enable findable, accessible, interoperable, and reusable (FAIR) data sharing for research reproducibility and cross-domain science. The project core innovations include high-level data abstractions, AI-readiness tools, low-code application development, and scalable, seamless service deployment. StreamCI is deployed as an open-source, cloud-based software-as-a-service and can be set up on local computers, demonstrating its broad applicability across domains such as energy, manufacturing, transportation, agriculture, ecology, audiology, and education.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $4.0m | 6/23/25 |