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.
