About this project
Seer enables non-technical users to ask predictive questions about datasets using natural language. It profiles the dataset, identifies data-quality issues, and prepares a transparent regression or classification plan for the user to review and approve. Once approved, Seer automatically handles missing values, encoding, scaling, model training and evaluation against a simple baseline. The final result is presented through interactive widgets containing predictions, metrics, graphs, warnings and plain-language limitations.
Enterprise AI & Workplace Automation track
Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.