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gcc-insurance-ml-models/ai-maya-intent-classifier

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face

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🤖 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