The main objective of this Resume Scanner is to analyse the Resume of the student and comparing it with the company's requirements It was completely built on Python.

PDF Notes + Deep Learning -> AI-Generated Slides

Python implementation of the Rapid Automatic Keyword Extraction algorithm using spaCy

👀 A very simple sentence classifier based on word similarity with NLTK and rake_nltk package

Python Random Keyword Extraction Algorithm in NLTK. Works by analyzing frequency of words and Its co-occurrence with others

Gap filled question generator

A movie recommendation web-based application that recommends movies (using a content-based filtering algorithm) to a user.

Keyword based searching and matching algorithm using Deep NLP

A self-contained Java15 implementation of the Rapid Automatic Keyword Extraction Framework ( RAKE ) for keyword extraction.

Source-Recommendation-System takes an article from the user as input and outputs any relevant article from a dataset of 8.5 million articles.

PDF keyword extraction using Python 3. Extract text from a PDF document and determine key phrases in a body of text by analyzing the frequency of word appearance and its co-occurance with other words in the text.

In this project, I explore a TripAdvisor hotel review dataset with the LDA algorithm, Rapid Keyword Extraktion (RAKE)

Keyword/entity/phrases identification & a possible approach to map to categories

A miniature Java Search Engine using the Rapid Automatic Keyword Extraction Framework ( RAKE ) and HashMaps

Django Project 2

Recommendation System

"Advertising platform ,find the relevant keywords on blog and then find ads which are relevant to them automatically"

The project is a Python implementation of a Text Summarizer. It uses various natural language processing (NLP) techniques to generate a summary of a given text.

This project was developed as part of the TDDC88 course at Linköping University. The course focused on software engineering practices, culminating in the development of a web application for Region Östergötland. Stack: Angular, Django, SQL DB, Auth0

Rapid Keyword Extraction Algorithm