⚡️ Getting liability assessments with ease ⚡
be sure to run the code in the src/ directory
cd src/
uvicorn main:app --reloadRead the docs at http://127.0.0.1:8000/docs Or don't, we don't care.
A state-of-the-art language model-based solution designed for insurance companies It focuses on automating responses to emails, providing guidance on handling insurance claims, and aiding in liability assessment using Large Language Models (LLMs). Developed in collaboration between ZHAW and AXA, it represents a pioneering approach in the intersection of AI and insurance.
DalAiLlama assists insurance claim handlers in various tasks:
- analyzing case facts
- researching legal articles
- consulting legal literature and court decisions
- and making liability assessments
It streamlines these processes through its integration of LLMs, offering a more efficient, accurate, and user-friendly approach to handling complex insurance cases. This tool is particularly beneficial for insurance professionals, significantly reducing the time and effort required to navigate the often complex and nuanced realm of insurance claims and liability determinations.
flowchart TD
A[Schadenmeldung / Schilderungen der Beteiligten / Zeugenberichte] -->|An Endpoint senden| B(Sachverhalt analysieren)
B --> C[Relevante Gesetzartikel suchen]
C --> D[Prüfen ob gegen Gesetzartikel verstossen wurde]
D --> E{SLK relevant}
E -->|Ja| F[Verhalten gegen Empfelung prüfen]
F --> G[Haftungsquote mit Begrüdung]
G --> I[Antwort über FastAPI Endpoint senden]
E -->|Nein| H[fa:fa-pen To be implemented]
Please, our code is self-documenting. Just read it.
This project is built with Python 3.11.1.
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
We want to thank our teacher Elena and our project lead Robin for their relentless suport and guidance.