AutoValue AI demo walkthrough

This silent screen recording follows the valuation form and the model dashboard. The application uses a private RF05 artifact to estimate historical 2023 U.S. asking prices. The intervals describe model uncertainty; they are not live market quotes.

1. 00:00

   The valuation screen introduces AutoValue AI and its use of historical vehicle data.

2. 00:12

   The vehicle form contains model year, status, make, model, mileage, and a prediction interval. The recording selects an example and edits its details.

3. 00:43

   Submitting example vehicles returns historical asking-price estimates and calibrated intervals. The result identifies RF05 and the 2023 asking-price target.

4. 01:10

   The recording opens the ML engineering dashboard, which describes the frozen model and its evaluation.

5. 01:27

   The dashboard shows interval coverage, system architecture, and experiment history. River online learning is shown as separate shadow research.