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case-studies
Multimodal AI Agent for Vehicle Damage Assessment
Approach and methodology
We developed a multimodal Artificial Intelligence agent, combining an LLM with image analysis capabilities and a machine learning model trained on historical insurance appraisal data. The system processes damage photographs, provides an automated severity estimate, and seamlessly integrates into business workflows, enhancing efficiency and accuracy
Staff involved in the project
3
Specialists
Execution time
4
Months
Technologies used
- LLM
- OpenAI