https://github.com/neelanjan-chakraborty/cuet_marks_calculator
CUET Marks Calculator is a Python script that allows users to calculate their exam marks based on the provided answer key and their chosen options. It extracts the user's chosen options from the result portal and compares them with the correct answers.
https://github.com/neelanjan-chakraborty/cuet_marks_calculator
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Last synced: 2 months ago
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CUET Marks Calculator is a Python script that allows users to calculate their exam marks based on the provided answer key and their chosen options. It extracts the user's chosen options from the result portal and compares them with the correct answers.
- Host: GitHub
- URL: https://github.com/neelanjan-chakraborty/cuet_marks_calculator
- Owner: Neelanjan-chakraborty
- Created: 2023-07-14T23:18:38.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-14T23:53:45.000Z (almost 2 years ago)
- Last Synced: 2025-01-18T06:44:00.597Z (4 months ago)
- Topics: addmsission, calculator, cbse, central-university, college, cuet, cuetmarks, cuetmarkscalculator, cuetpg, cuetug, cuetugmarkscalculator, icse, marks, nta, ugc, ugcug, ygcpg
- Language: Python
- Homepage: https://neelanjan-chakraborty.github.io/CUET_marks_calculator/
- Size: 31.3 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CUET PG Marks Calculator
This is a Python script that calculates exam marks based on the provided answer key and the user's chosen options. It also generates an overall performance report.
access the tool here
[Tool Link](https://neelanjan-chakraborty.github.io/CUET_marks_calculator/)
## Steps to Find the Answer
1. First, log in to the CUET Result Portal. You can access the portal [here](https://examinationservices.nic.in/examsys23/root/DownloadAdmitCard.aspx?appFormId=101352311).
2. Login and copy the Answer Key from the Challenges Page as shown in the example below:
3. Open your Attempted questions and copy the link as shown in the example below:
4. Paste both the Answer Key and the Question Link in the appropriate placeholders.
5. Select "Check Answers" to calculate your marks.
6. If you found this application helpful, please give it a star.
7. In case of any issues, please contact me.
## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Installation
To use this script, you need to have Python and the following libraries installed:
- `requests`
- `beautifulsoup4`
- `pandas`
- `matplotlib`
You can install these dependencies using the following command:
```shell
pip install -r requirements.txt
import requests from bs4 import BeautifulSoup
import pandas as pd
import matplotlib.pyplot as plt
```
## Contributing
Contributions are welcome! If you have any improvements or bug fixes, feel free to submit a pull request.
## License
This project is licensed under the MIT License.
## Copy code
Please note that this README.md template assumes that you have a `LICENSE` file in your repository root directory. If you don't have one, you can choose an appropriate license or remove the "License" section from the template.
Feel free to customize the README.md as per your requirements.