Update README.md

README.md

@@ -5,4 +5,42 @@ language:
 pipeline_tag: text-classification
 tags:
 - sentiment-analysis
----
+---
+
+---
+language: en
+license: apache-2.0
+pipeline_tag: text-classification
+tags:
+  - sentiment-analysis
+  - mental-health
+  - transformers
+  - huggingface
+  - ai-chatbot
+---
+
+# 🧠 MindGuardAI – Sentiment Analysis Model
+
+This model is part of the **MindGuardAI** project, a mental health–focused chatbot system. It performs **sentiment analysis** on user input text to classify emotional tone as **positive** or **negative**, helping assess user mood and emotional state in real time.
+
+## ✨ Model Highlights
+
+- **Task**: Sentiment classification (binary: `Positive`, `Negative`)
+- **Trained On**: Social media mental health datasets (Twitter, Reddit-style samples)
+- **Model Type**: Fine-tuned BERT-based model using the Hugging Face `transformers` library
+- **Use Case**: Integrates with mental health chatbot systems for mood tracking and emotional awareness
+
+---
+
+## 🚀 Quick Start
+
+### 🧪 Inference API
+
+Try it out instantly using Hugging Face's hosted API 👇
+
+```python
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="hasanmustafa0503/MindGuardAI")
+result = pipe("I feel really low and unmotivated today.")
+print(result)