Developer Builds AI Damage Claim Review Agent for HackerRank 24-Hour Hackathon

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A developer named Arul built a multi-modal AI agent to automate insurance and warranty damage claim reviews as part of the HackerRank Orchestrate June 2026 hackathon, a 24-hour challenge. The system uses Python alongside OpenAI's GPT-4o and GPT-4o-mini models to analyze text transcripts, images, and customer history before producing structured decisions. A multi-stage pipeline — extracting the claim, analyzing each image individually, then synthesizing a final verdict — outperformed a single-pass approach, particularly on conflicting or suspicious evidence. Each claim is evaluated against fields such as claim_status, risk_flags, severity, and image-grounded justifications, with visual evidence taking priority over chat descriptions. The full source code, prompts, and evaluation scripts have been published openly on GitHub.

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ProgrammingDEV Community ·

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ProgrammingDEV Community ·

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