https://github.com/alejoduarte23/pdfffxai

This projects aims to create a RAG pipeline for a LLM to developed multiple structural assessment reports based on images with metadata
https://github.com/alejoduarte23/pdfffxai

Last synced: about 2 months ago
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This projects aims to create a RAG pipeline for a LLM to developed multiple structural assessment reports based on images with metadata

• Host: GitHub
• URL: https://github.com/alejoduarte23/pdfffxai
• Owner: AlejoDuarte23
• Created: 2024-03-12T11:22:19.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-07-26T23:22:11.000Z (5 months ago)
• Last Synced: 2024-07-27T00:27:08.449Z (5 months ago)
• Language: Python
• Size: 17.9 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
# PDF Structural Risk Assessment

![Workflow](workflow2.png)

## Repository Overview

This repository contains tools and scripts for performing structural risk assessments and processing related data.

### File Descriptions

- **FFPDF.py**: Creates structural risk assessments in PDF format.

- **Factory_from_excel.py**: Loads information to create Pydantic models that are defined in `Classes.py`.

- **Classes.py**: Contains Pydantic models used throughout the project.

- **Extraction_images.py**: Processes images related to structural assessments.

- **Extraction_test.py**: Contains the `getextraction` function which, based on the metadata of the images, retrieves the Location, Component, and Description and returns a Pydantic model.

- **Preprocesing.py**: Handles preprocessing tasks for data and images.

- **Complete_PDFs**: Directory for storing completed PDF reports.

- **Cost_Estimation**: Tools for estimating costs associated with structural risks.

- **Defects_Groups**: Contains scripts and data for grouping structural defects.

- **Merge_excel**: Utilities for merging Excel files.

- **Templates**: Contains templates used for generating reports and assessments.

- **Utils**: Utility scripts and helper functions.

### Getting Started

1. Clone the repository.

2. Install the required dependencies.

3. Run the scripts as needed to perform structural risk assessments and process data.

### Usage

Detailed usage instructions for each script can be found in their respective docstrings and comments.

For any questions or issues, please open an issue on GitHub.