PDF Reader

A simple PDF Reader to extract Question, Options and Answers from the PDF using python

Installation

To run the project, you need to install the module PyPDF2, using the command

pip install PyPDF2

and you are good to go.

Running

After installing PyPDF2, just run the project and it will crawl the PDF page by page and store the data in a dcitionary in the format,

Chapter name
- Type (I, II, .. ) (if any)
  - Question Number
    - Question (String)
    - Options (List of all options)
    - Answer (Answer to the Question)

NOTE

While running, after crawling each page, the code outputs the Question Number found on the page and the Question Number whose answer are found on the page. An example for the illustration is given below,

About Me

I am 3rd year undergraduate, pursuing B.Tech from Jaypee Instte of Information Technology, Noida.

I have experince working with Python, Django, Web Scraping and Web Automation.

My Resume: https://drive.google.com/file/d/123Xp8bSoyf8VKikuxspv4Cl450m1lIYM/view?usp=sharing

My Portfolio: https://sharma-kunal.github.io/

My Projects

1. Movie/Series Search Engine

Project Live on Heroku - https://sharma-kunal.github.io/SearchEngine/
A Search Engine to search platform currently streaming specific movies/serie. The platforms being searched are:
- Netflix
- Amazon Prime
- Hotstar
- Zee5
- Sony LIV
- MX Player
- Airtel XStream and more..
Tech Stack Used:
Django
Django REST Framework (REST API)
Web Crawling
XHR Request and AJAX
HTML, CSS, JS

2. Sorting Visualizer

https://github.com/sharma-kunal/Sorting-Visualiser
A sorting visualizer made using python and matplotlib to visualize the sorting algorithms in real time
It visualizes algorithms like
- Insertion Sort
- Bubble Sort
- Selection Sort
- Merge Sort
- Quick Sort

For more projects and my experince, please have a look on my portfolio and resume.