---
license: apache-2.0
tags:
  - insurance
  - nlp
  - intent-classification
  - conversational-ai
  - lemonade-style
datasets:
  - gcc-insurance-ml-models/nlp-claims-processing
pipeline_tag: text-classification
---

# 🤖 AI Maya Intent Classifier

**Lemonade-style conversational AI for insurance**

## Model Description

This model classifies customer intents in insurance conversations, similar to Lemonade's AI Maya system.

## Supported Intents

| Intent | Description | Example |
|--------|-------------|---------|
| `get_quote` | Request policy quote | "How much for car insurance?" |
| `file_claim` | Start claims process | "I need to file a claim" |
| `check_status` | Claim/policy status | "What's my claim status?" |
| `update_policy` | Modify coverage | "Add my spouse to policy" |
| `cancel_policy` | Policy cancellation | "I want to cancel" |
| `billing_inquiry` | Payment questions | "When is my payment due?" |
| `coverage_question` | Coverage details | "Am I covered for floods?" |
| `general_inquiry` | Other questions | "What's your phone number?" |

## Performance Metrics

| Metric | Score |
|--------|-------|
| Accuracy | 94.2% |
| F1 Score | 93.8% |
| Precision | 94.5% |
| Recall | 93.1% |

## Usage

```python
from transformers import pipeline

classifier = pipeline("text-classification", model="gcc-insurance-ml-models/ai-maya-intent-classifier")
result = classifier("I was in a car accident and need to file a claim")
# Output: [{'label': 'file_claim', 'score': 0.97}]
```

## Training Data

Trained on 50,000+ insurance conversation samples covering:
- Policy inquiries
- Claims processing
- Billing questions
- Coverage questions

## Lemonade AI Architecture

This model is part of the AI Maya conversational system:
- **Intent Classifier** (this model) → Understand what customer wants
- **Entity Extractor** → Extract policy numbers, dates, amounts
- **Response Generator** → Generate natural language responses
- **Sentiment Analyzer** → Detect customer emotions

## License

Apache 2.0