LLM-Based Retrieval-Augmented Generation (RAG) Chatbot for Construction Safety

Demo

Click on the image to view the video.

Project Overview

This project involves creating a retrieval-augmented generation (RAG) chatbot utilizing a large language model (LLM) to provide real-time safety information and guidance on construction sites. The chatbot aims to enhance worker understanding of safety protocols and increase awareness of construction site hazards.

Manuscript

Under preparation...

Key Features

• Retrieval-Augmented Generation (RAG): Combines retrieval-based methods with generative responses to provide accurate and contextually relevant safety information.
• Real-Time Safety Guidance: Offers instant assistance and guidance on safety protocols to workers on construction sites.
• Enhanced Understanding: Aims to improve workers' awareness and compliance with safety regulations through interactive and dynamic responses.

Getting Started

Requirements

• Python 3.x
• Large Language Model (LLM)
• Retrieval-Augmented Generation (RAG) framework

Installation

Coming soon...

Contributing

Contributions are welcome! Please read the CONTRIBUTING.md file for details on how to contribute to this project.

License

This project is licensed under the MIT License – see the LICENSE file for details.