Update README (Seq2Seq Clf Count)

README.md

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+---
+license: apache-2.0
+tags:
+  - flight-planning
+  - transformer
+  - coordinate-prediction
+  - sequence-to-sequence
+  - count-classification
+---
+# Flight Plan Coordinate Prediction Model (Seq2SeqCoordsTransformer)
+Encoder-Decoder Transformer model trained for AI flight planning project. Predicts normalized coordinates directly and waypoint count via classification.
+## Model Description
+Seq2SeqCoordsTransformer architecture using `torch.nn.Transformer`. Predicts normalized lat/lon coordinates autoregressively and waypoint count (0-10) via classification head on encoder output.
+* Embed Dim: 256, Heads: 8, Enc Layers: 4, Dec Layers: 4, Max Waypoints: 10
+## Intended Use
+Research prototype. **Not for real-world navigation.**
+## Limitations
+Accuracy depends on data/tuning. Fixed max waypoints (10). Not certified. **Architecture differs significantly from previous versions in this repo.**
+## How to Use
+Requires loading the custom `Seq2SeqCoordsTransformer` class and weights. Generation requires autoregressive decoding and taking argmax of count logits.
+## Training Data
+Trained on `frankmorales2020/flight_plan_waypoints` - https://huggingface.co/datasets/frankmorales2020/flight_plan_waypoints.
+## Contact
+Frank Morales, BEng, MEng, SMIEEE (Boeing ATF) - https://www.linkedin.com/in/frank-morales1964/