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A tool to help teachers calculate test averages and performance by subject area

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TeacherTool

TeacherTool is a web tool developed with FastAPI that helps language teachers calculate the grades for Cambridge exams that certify language proficiency levels (B1, B2, etc.). This application simplifies the grading process and enables educators to manage exam results quickly and efficiently.

Features

  • Automatic grade calculation: Calculates grades for Cambridge exams for different language proficiency levels.
  • RESTful API: The app exposes an API that can be used by other tools or integrations.
  • Easy installation: Includes a script to quickly set up the project in your local environment.
  • Export results to DOCX: Students' exam results can be automatically exported to a .docx file for easy printing or record-keeping.

Technologies

  • FastAPI: A modern and fast web framework for Python.
  • Python 3.x: The primary programming language.
  • Jinja2: Templating engine used for rendering views.
  • python-docx: Library to generate .docx files.

Requirements

Make sure you have Python 3.x installed. You can install the project's dependencies using the requirements.txt file or the provided .sh installation script.

Additionally, you need to have a test.docx file with a pre-created table structure. This file will be used to populate and export student results. The table should have the following structure (or similar):

  • Column 1: Student Full Name
  • Column 2: Reading
  • Column 3: Use of English
  • Column 4: Writing
  • Column 5: Listening
  • Column 6: Speaking
  • Column 7: Overrall

Recommended platforms: It is recommended to run this project on Linux or Windows for the best compatibility.

Installation

Step 1: Clone the repository

git clone https://github.com/MAInformatico/TeacherTool.git
cd TeacherTool

Step 2: Create a virtual environment (optional but recommended)

python3 -m venv venv
source venv/bin/activate  # For Linux/MacOS
venv\Scripts\activate  # For Windows

Step 3: Install dependencies

pip install -r requirements.txt

Step 4: Run the project

You can run the project locally using the .sh installation script (if you're on a Unix environment) or directly with Uvicorn:

Using the .sh script:

./execute.sh

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