InsuraSwift is a groundbreaking platform focused on automating insurance underwriting processes, particularly the extraction of critical information from Attending Physician Statements (APS). The project was conceived with the aim of revolutionizing the way insurance companies operate, by streamlining underwriting tasks and ensuring swift and accurate decision-making.With InsuraSwift, insurers can streamline underwriting tasks, ensuring swift decision-making without compromising accuracy. By automating data extraction from APS, manual effort and errors are minimized, allowing insurers to focus on providing exceptional service to their policyholders.

React Webapp: Frontend development for our web application, ensuring a seamless and intuitive user experience.

Java Bootstrap & Python (Microservices): Backend development utilizing Java Bootstrap and Python for microservices architecture, enabling scalability and flexibility in our system.

Custom Lexer: Implementation of a custom lexer for efficient parsing and processing of data.

Computer Vision & OCR - Ensemble: Integration of computer vision and optical character recognition (OCR) technologies to extract and analyze information from documents.

Q&A Module: Development of a question-and-answer module to facilitate interaction and information retrieval within the platform.

RAG (Retrieval-Augmented Generation): Integration of OpenAI's RAG model for generating insightful questions and responses.

Information Retrieval Engine: Implementation of an information retrieval engine to efficiently search and retrieve relevant data.