metadata

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

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