Inspiration Filing insurance claims is complex and often unfair. Insure Right leverages AI to simplify the process, help users understand policies, and challenge unjust denials.
What It Does • Analyzes insurance policies and denial letters. • Summarizes complex terms into simple language. • Predicts claim eligibility and dispute success. • Assists users in filing stronger claims.
How We Built It • Tech Stack: Python • NLP Models: Extract and interpret insurance terms. • Machine Learning: Identifies claim approval probabilities. • Automation: Generates user-friendly claim dispute reports.
Challenges We Ran Into • Extracting insights from complex legal documents. • Limited access to real-world insurance claim data. • Ensuring AI-generated summaries are accurate and trustworthy.
Accomplishments We’re Proud Of • Built an AI-powered document analysis pipeline. • Successfully automated policy summarization. • Developed a working claim dispute recommendation system.
What We Learned • NLP is crucial for interpreting insurance policies. • Legal and insurance compliance is a key challenge. • AI-driven automation can greatly improve user accessibility.
What’s Next • Improve model accuracy with more real-world data. • Expand support for different types of insurance claims. • Enhance the user interface for better accessibility.
Built With
- api
- ml
- python
- streamlit
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