Update README.md

README.md

@@ -1,6 +1,36 @@
 ---
+language: en
 license: apache-2.0
-metrics:
-- accuracy
+base_model: distilbert-base-uncased
+tags:
+  - text-classification
+  - sentiment-analysis
+  - transformer
+  - distilbert
+  - huggingface
 pipeline_tag: text-classification
----
+widget:
+  - text: "I love the way your startup handled my issue. Brilliant support!"
+---
+
+# 💫 Sentiment Model Aura (KS-Vijay)
+
+This model is fine-tuned using **DistilBERT** to classify the **sentiment of startup grievance text** as either `Positive`, `Neutral`, or `Negative`.
+
+## 💼 Use Case
+
+Used in a smart Grievance Redressal System to analyze tone and emotion of user complaints, providing faster triage and better prioritization.
+
+## 🔍 Model Summary
+
+- **Task:** Sentiment Classification
+- **Model:** DistilBERT
+- **Labels:** `Positive`, `Neutral`, `Negative`
+- **Format:** `safetensors`
+- **Trained on:** Complaints from `complaints.csv` (custom dataset)
+- **Framework:** PyTorch with 🤗 Transformers
+
+## 🧪 Example Input
+
+```text
+"The support staff was helpful, but the delay was frustrating."