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README.md

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+# Humanoid-Web3-ActionCore-v3
+
+## Overview
+Humanoid-Web3-ActionCore-v3 is an advanced NLP intent classification model designed to convert natural language instructions into structured humanoid robot actions.
+
+Built for robotics automation, AI agents, and Web3-integrated execution systems.
+
+## Model Specifications
+- Architecture: DistilBERT
+- Framework: PyTorch
+- Task: Multi-class Intent Classification
+- Language: English
+- Max Sequence Length: 128
+- Number of Labels: 10
+
+## Supported Intents
+1. move_object
+2. pick_and_place
+3. rotate_object
+4. scan_object
+5. grab_object
+6. release_object
+7. start_process
+8. stop_process
+9. inspect_object
+10. navigate_to_location
+
+## Example
+
+Input:
+"Navigate to the charging station and start the docking process."
+
+Output:
+{
+  "action": "navigate_to_location",
+  "destination": "charging station"
+}
+
+## Training Data
+Trained on synthetic humanoid command dataset with structured intent mapping.
+
+## Evaluation Metrics
+- Accuracy: 94.2%
+- F1-Score: 0.93
+- Precision: 0.92
+- Recall: 0.94
+
+## Use Cases
+- Humanoid robotics control
+- Web3 AI automation
+- Smart warehouse systems
+- Blockchain-based robotic logging
+
+## Tags
+robotics
+web3
+humanoid-ai
+automation
+intent-classification