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README.md

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+# RIA Hub Technical Demo
+
+This repository demonstrates a full ML pipeline via Gitea Actions:
+
+- **Recordings**  
+  A collection of raw `.npy` radio recordings stored via Git LFS.
+
+- **Workflows**  
+  A CI pipeline that automatically:
+  1. Builds a labeled dataset from raw recordings  
+  2. Trains a model on that dataset  
+  3. Optimizes the model and packages an inference application  
+
+- **Scripts**  
+  - `scripts/build_dataset.sh`  
+    Reads through `recordings/`, applies preprocessing, and outputs training `.npz` or `.csv` files into `data/`.  
+  - `scripts/train_model.sh`  
+    Consumes `data/`, trains a PyTorch model, and writes checkpoints to `checkpoints/`.  
+  - `scripts/build_app.sh`  
+    Takes the best checkpoint and builds a small inference CLI or server in `dist/`.
+
+
+