I have already digitised a UK shoreline from 1846-2024 and will share the geodatabase with you. Using ArcGIS Pro, I’d like a straightforward machine-learning model that focuses mainly on sediment changes to forecast the shoreline positions for 2044 and 2064. Scope (kept lean to match the limited budget): • Build a basic yet reproducible model inside ArcGIS Pro that ingests the time-stamped shoreline vectors and outputs two new feature classes—Predicted_2044 and Predicted_2064. • Generate clear map layouts of both predicted shorelines and export them as high-resolution PNG or PDF. • Produce simple graphs or charts that illustrate the predicted rate of change and any confidence bands you calculate. I will supply: • The digitised shoreline dataset (1846-2024) • Background layers (DEM, aerial imagery) if useful • Notes on known erosion hot spots and sediment supply shifts Deliverables: 1. ArcGIS Pro project (.aprx) containing the trained model and resulting layers. 2. Two map exports. 3. A concise chart pack (PNG or PDF) summarising key metrics. No lengthy report is needed—just the model, maps, and charts so I can validate the approach.