Intelligent Hospital Information Assistant for Morocco
Developed a retrieval-augmented generation (RAG) assistant to centralize hospital information in Morocco, combining automated data collection, document extraction, SQL-based data organization, and natural-language question answering.
Contribution
- Designed and developed the RAG-based hospital information assistant.
- Implemented automated information collection using web scraping and document extraction.
- Structured and organized collected information in a SQL database.
- Integrated natural-language question answering using LLMs and retrieval-augmented generation.
Facts
- Fields
- Generative AI · Information Retrieval · Retrieval-Augmented Generation
- Technologies
- RAG · LLMs · SQL · Web Scraping · Document Extraction
Full Description
This project focused on making hospital information in Morocco easier to access through a conversational AI assistant.
I developed a retrieval-augmented generation (RAG) solution that combines information collection, data organization, and natural-language question answering.
The system integrates web scraping and document extraction to collect hospital information, which is organized in a structured SQL database.
By combining this information with an LLM-powered question-answering workflow, the assistant provides a conversational interface for accessing hospital-related information.
The project explored how generative AI and structured data management can improve access to information distributed across multiple sources.