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V-Aguatech – Automatic Technical Report Generator
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Overview
V-Aguatech is a desktop application developed in Python for the automatic generation of technical inspection reports in Microsoft Word format. The platform was designed to streamline field inspection workflows by allowing investigators and technicians to: - Fill structured inspection data - Attach photographs - Document applied inspection techniques - Register participants during inspections - Automatically generate professional DOCX reports from templates The application uses a dynamic Word template system with automatic placeholder replacement and image insertion. --- #
Main Features
## Automatic DOCX Report Generation - Dynamic placeholder replacement - Automatic generation of timestamped reports - Structured technical documentation --- ## Image Processing - Single image insertion - Multiple image insertion - Automatic image conversion to PNG - Automatic image resizing inside reports --- ## Technical Inspection Management The system allows the user to document: - Visual inspection techniques - Humidity measurements - Thermal camera inspections - Endoscopic camera analysis - Pressure testing - Color dye testing - Obstruction testing Each technique supports: - Description field - Multiple attached photographs --- ## Presence Registration The application supports recording: - Insured individuals - Injured parties - Other participants Including: - Names - Statements - Presence tracking during inspections --- #
Technologies Used
| Technology | Purpose | |:---:|:---:| | Python | Main programming language | | Tkinter | Desktop graphical interface | | python-docx | Microsoft Word manipulation | | Pillow (PIL) | Image processing | | io / tempfile | Temporary image stream handling | --- #
Project Structure
```txt . ├── vaguatechrelatorios_VF1.py ├── Corpus.docx ├── README.md ``` --- #
Requirements
## Python Version ```txt Python 3.10+ ``` --- #
Required Libraries
Install dependencies: ```bash pip install python-docx pillow ``` --- #
Running the Application
Execute: ```bash python vaguatechrelatorios_VF1.py ``` --- #
Required Template
The application requires the following template file in the same directory: ```txt Corpus.docx ``` This template contains placeholders used for automatic replacement. --- #
Supported Placeholders
## Text Placeholders | Placeholder | Description | |:---:|:---:| | `{{nproc}}` | Process number | | `{{segurado}}` | Insured person | | `{{comp}}` | Insurance company | | `{{terceiro}}` | Third party | | `{{data}}` | Inspection date | | `{{local da visita}}` | Inspection location | | `{{descriçãoimovel}}` | Property description | | `{{anoconstr}}` | Construction year | | `{{descricao}}` | Inspection description | | `{{area}}` | Area inspected | --- ## Image Placeholders | Placeholder | Description | |:---:|:---:| | `{{foto1}}` | Main inspection image | | `{{foto2}}` | Multiple inspection images | --- ## Technical Sections | Placeholder | Description | |:---:|:---:| | `{{tecnicasutilizadas}}` | Inspection techniques | | `{{iniciopesquisa}}` | Initial investigation methods | | `{{metodosutilizados}}` | Combined methods list | --- #
Generated Output
Reports are automatically generated with timestamp naming: ```txt YYYY-MM-DD_HH-MM-SS.docx ``` Example: ```txt 2026-05-21_15-30-00.docx ``` --- #
User Interface
The application provides: - Structured inspection form - Dynamic participant management - Multi-image selection - Technique management windows - Automatic validation popups - Error handling interface --- #
Error Handling
The application automatically handles: - Missing templates - Invalid image formats - Missing placeholders - DOCX generation failures --- #
Main Functionalities
## Automatic Image Conversion All images are automatically converted to PNG streams before insertion into Word documents. --- ## Dynamic Report Sections The system dynamically builds: - Participant summaries - Technical method sections - Inspection conclusions - Multi-image layouts --- #
Intended Use Cases
- Insurance inspections - Technical damage assessments - Building inspections - Water damage investigations - Field technical reports - Evidence documentation --- #
Future Improvements
- PDF export - Database integration - Digital signatures - Multi-user system - Cloud synchronization - OCR integration - AI-assisted report writing --- #
Disclaimer
This software is intended for technical documentation and inspection support purposes. Users remain responsible for validating generated reports before official submission. --- #
Author
José Garcia Data Scientist PhD Researcher – Digitalization Engineering