Create README.md

# AI-Powered Symptom Checker 🏥🤖
This model predicts potential medical conditions based on user-reported symptoms. Built using **BERT** and fine-tuned on the **MedText dataset**, it helps users get preliminary symptom insights.

## 🔍 Model Details
- **Model Type:** Text Classification
- **Base Model:** BERT (`bert-base-uncased`)
- **Dataset:** MedText (1.4k medical cases)
- **Metrics:** Accuracy: `96.5%`, F1-score: `95.1%`
- **Intended Use:** Assist users in identifying possible conditions based on symptoms
- **Limitations:** Not a replacement for professional medical diagnosis

## 📖 Usage Example
```python
from transformers import pipeline

model = pipeline("text-classification", model="Lech-Iyoko/bert-symptom-checker")
result = model("I have a severe headache and nausea.")
print(result)

README.md

@@ -0,0 +1,19 @@
+---
+license: apache-2.0
+datasets:
+- BI55/MedText
+language:
+- en
+metrics:
+- accuracy
+- f1
+base_model:
+- google-bert/bert-base-uncased
+pipeline_tag: text-classification
+library_name: transformers
+tags:
+- medical
+- symptomchecker
+- nlp
+- healthcare
+---