MediBot

AI-powered chatbot using Retrieval-Augmented Generation (RAG) to provide reliable answers to healthcare-related questions.

Features

• Data Preprocessing: Clean and structure the health insurance reimbursement data for further analysis.
• Chatbot Interaction: Query the dataset through a chatbot interface, providing users with specific insights into reimbursement data.
• Data Visualization: Visualize reimbursement trends and data insights through interactive charts and graphs.

Technologies Used

• Pandas : Versatile data analysis library for data manipulation, cleaning, and transformation in Python.
• Sentence-Transformers : Create embeddings and improve information retrieval.

Dataset Used

Reimbursements made by the general health insurance scheme

This database contains all monthly reimbursements made by the general health insurance scheme (excluding hospital services) by type of service (care and cash benefits), type of provider (doctors by specialty, dental surgeons, medical auxiliaries, analysis laboratories, pharmacists, etc.) and by type of prescriber. Expenditures are indicated in amounts reimbursed and presented for reimbursement.