Update README.md

README.md

@@ -1,3 +1,104 @@
----
-license: apache-2.0
----
+---
+license: mit
+tags:
+  - oil-and-gas
+  - drilling
+  - physics-informed
+  - edge-ai
+  - realtime
+  - ml-agent
+  - deepboreai
+library_name: deepboreai-sdk
+pipeline_tag: tabular-classification
+model-index:
+  - name: DeepBoreAI Agent
+    results: []
+---
+
+# DeepBoreAI Agent: Real-Time Predictive Drilling Model
+
+**DeepBoreAI** delivers vendor-agnostic, physics-informed ML agents designed to predict and mitigate drilling hazards in real time. These agents are optimized for edge deployment, with live updates driven by telemetry from WITSML-compliant sources.
+
+---
+
+## Model Purpose
+
+This model is part of the **DeepBoreAI ML Agent Suite** and is specialized in:
+
+- Predicting mechanical/differential sticking
+- Optimizing rate of penetration (ROP)
+- Identifying hole cleaning inefficiencies
+- Detecting washouts and mud losses
+
+Each model is informed by a hybrid architecture that blends:
+- Physical laws of drilling dynamics (e.g., conservation of energy, pressure balance)
+- Online learning algorithms that adapt to new drilling conditions
+
+---
+
+## Use Cases
+
+- **Real-time drilling optimization**
+- **Anomaly detection and alerting**
+- **Autonomous drilling guidance systems**
+- **Rig edge computing deployments**
+
+---
+
+## How to Use
+
+Install the DeepBoreAI SDK:
+
+```bash
+pip install deepboreai-sdk
+```
+
+Use this model in Python:
+
+```python
+from deepboreai_sdk.sdk import DeepBoreAI
+client = DeepBoreAI()
+
+data = {
+    "bit_depth": 2000,
+    "wobs": 15.2,
+    "rpm": 130,
+    "torque": 500,
+    "flow_rate": 400,
+    "mud_density": 1.1,
+    "annular_pressure": 80
+}
+
+result = client.post_telemetry(data)
+print(result)
+```
+
+---
+
+## Model Details
+
+- **Architecture**: Physics-informed neural network with online learning
+- **Precision**: Validated at 90%+ on historical and synthetic drilling datasets
+- **Latency**: Optimized for <1s inference on edge devices
+
+---
+
+## Citation
+
+If you use this model or DeepBoreAI, please cite:
+
+```
+@software{deepboreai2025,
+  author = {DeepBoreAI Team},
+  title = {DeepBoreAI: Real-Time Predictive AI Agents for Drilling},
+  year = 2025,
+  url = {https://huggingface.co/deepboreai},
+  license = {MIT}
+}
+```
+
+---
+
+## License
+
+MIT License. Free for academic and commercial use.