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+#
AvalCal – Automatic Evaluation & Presentation Generator
+
+---
+
+## Overview
+
+AvalCal is a Python-based automation tool designed to process student evaluation spreadsheets and automatically generate formatted PowerPoint presentations with performance summaries and student imagery.
+
+The system was developed to simplify the preparation of evaluation reports and visual presentations by automating:
+
+- Excel data processing
+- Evaluation classification
+- Student ranking
+- PowerPoint slide editing
+- Automatic image insertion
+- Presentation generation
+
+The application combines spreadsheet manipulation with automated PowerPoint editing to accelerate academic and institutional reporting workflows. :contentReference[oaicite:0]{index=0}
+
+---
+
+# Main Features
+
+## Automatic Excel Processing
+
+- Import `.xlsx` evaluation files
+- Automatic data cleanup
+- Column normalization
+- Quantitative score processing
+- Qualitative classification analysis
+
+---
+
+## Student Classification
+
+The system automatically categorizes students into:
+
+- MUITO BOM
+- SUFICIENTE
+- MEDIOCRE
+- MAU
+
+---
+
+## PowerPoint Automation
+
+- Automatic PowerPoint generation
+- Dynamic text replacement
+- Student number insertion
+- Automatic photograph placement
+- Slide customization
+
+---
+
+## Image Integration
+
+- Automatic student image loading
+- Dynamic image positioning
+- PowerPoint image rendering
+
+---
+
+# Technologies Used
+
+| Technology | Purpose |
+|:---:|:---:|
+| Python | Main programming language |
+| Pandas | Excel data processing |
+| python-pptx | PowerPoint automation |
+| Tkinter | File selection interface |
+| OpenPyXL | Excel compatibility |
+| OS Library | File management |
+
+---
+
+# Project Structure
+
+```txt
+.
+├── AvalCal.ipynb
+├── Apresentação Comportamentos.pptx
+├── Fotos/
+├── README.md
+```
+
+---
+
+# Requirements
+
+## Python Version
+
+```txt
+Python 3.10+
+```
+
+---
+
+# Required Libraries
+
+Install dependencies:
+
+```bash
+pip install pandas python-pptx openpyxl
+```
+
+---
+
+# Running the Application
+
+Execute the notebook:
+
+```bash
+jupyter notebook
+```
+
+Open:
+
+```txt
+AvalCal.ipynb
+```
+
+---
+
+# Input Files
+
+## Excel File
+
+The application expects an evaluation spreadsheet in:
+
+```txt
+.xlsx
+```
+
+format.
+
+The Excel file is selected dynamically through a file dialog interface.
+
+---
+
+## PowerPoint Template
+
+Required template:
+
+```txt
+Apresentação Comportamentos.pptx
+```
+
+This presentation is automatically modified by the system.
+
+---
+
+## Student Photographs
+
+Student images must be placed inside:
+
+```txt
+/Fotos
+```
+
+directory.
+
+---
+
+# Main Functionalities
+
+## Excel Cleaning & Transformation
+
+The notebook automatically:
+
+- Merges rows
+- Renames columns
+- Removes unnecessary fields
+- Formats scores
+- Calculates final values
+- Cleans missing values
+
+---
+
+## Quantitative & Qualitative Analysis
+
+The system processes:
+
+- Quantitative grades
+- Qualitative classifications
+- Attendance/suspension indicators
+- Behavioral metrics
+
+---
+
+## Automatic Presentation Population
+
+The PowerPoint template is dynamically updated with:
+
+- Student numbers
+- Performance rankings
+- Student photographs
+- Evaluation highlights
+
+---
+
+# Generated Output
+
+The system generates:
+
+- Automated PowerPoint presentations
+- Structured evaluation summaries
+- Visual student performance reports
+
+---
+
+# Workflow
+
+```txt
+Excel Input
+ ↓
+Data Cleaning
+ ↓
+Classification Processing
+ ↓
+Student Ranking
+ ↓
+PowerPoint Population
+ ↓
+Final Presentation Export
+```
+
+---
+
+# User Interface
+
+The application includes:
+
+- File picker dialog
+- Automated processing workflow
+- Dynamic PowerPoint editing
+- Automatic image handling
+
+---
+
+# Intended Use Cases
+
+- Academic evaluations
+- Military training assessments
+- Student performance analysis
+- Behavioral reporting
+- Institutional presentations
+- Automated evaluation dashboards
+
+---
+
+# Future Improvements
+
+- GUI application version
+- PDF export
+- Automatic charts
+- Multi-template support
+- AI-based evaluation insights
+- Database integration
+- Web dashboard version
+
+---
+
+# Disclaimer
+
+This project was developed for academic and institutional automation purposes.
+
+Users remain responsible for validating all generated evaluation data before official usage.
+
+---
+
+# Author
+
+José Garcia
+Data Scientist
+PhD Researcher – Digitalization Engineering
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