NEET Examination Analysis

This project aims to analyze the NEET examination data from the official website. The data includes marks obtained by students in various centers. The project includes the following files:

Scripts and Notebooks

1. download_pdf.py: This file contains the code to download the pdf files from the NEET website.

2. neet_analysis.py: This file contains methods for processing pdfs and creating appropriate DataFrame.

3. names_cent_state_city.py: Extracts the State, City, and Center Name from center code (same as the pdf file name in /pdfs)

4. neet_analysis.ipynb: This jupyter notebook contains the interactive code with all the analysis done till now

Data files

1. city_marks_data.csv: This file contains the whole data for total marks of each student center-wise.

2. cent_data.csv: This file contains the state, city, and center name with its serial number

The purpose of this project is to study and find any malpractice and fraud across examination centers. The analysis is done using the downloaded data and the code in the neet_analysis folder.

Requirements

pip install pymupdf pandas matplotlib numpy seaborn scipy scikit-learn

Contributing

We welcome pull requests and contributions to improve the NEET Examination Analysis project. If you have suggestions for improvements or new analysis, feel free to submit a pull request or open an issue. Contributions should follow the standard workflow:

1. Fork the repository.
2. Create a new branch for your changes.
3. Make your changes and commit them.
4. Push the changes to your fork.
5. Submit a pull request to the main project.

We appreciate your efforts to contribute and improve upon this project!

by R Prasad