---
language: en
license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - text-classification
  - urgency-detection
  - startup-grievances
  - transformers
  - huggingface
pipeline_tag: text-classification
widget:
  - text: "Our server is down! We need immediate help!"
---

# 🚨 Urgency Model Aura (KS-Vijay)

This is a **DistilBERT-based text classification model** trained to detect the **urgency level** of textual grievances submitted by startups. It's part of an AI-based **Grievance Redressal Platform** for startups.

## 🧠 Use Case

Helps categorize complaints into urgency levels:
- `Low`
- `Medium`
- `High`
- `Critical`

This allows startups or organizations to **prioritize tickets** and **respond efficiently** based on severity.

## 🔍 How It Works

The model takes in a complaint text and outputs a classification label. It was trained on labeled grievance data using the 🤗 `transformers` and `datasets` libraries.

## 📦 Model Details

- Architecture: `DistilBERT`
- Framework: `PyTorch`
- Model type: `Text Classification`
- Format: `safetensors`
- Dataset: Custom `complaints.csv` (internal)
- Labels: Urgency levels (Critical, High, Medium, Low)

## 🚀 Example Input

```text
"My startup's payment system has been offline since morning!"