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.

Python implementation of the Rapid Automatic Keyword Extraction algorithm using spaCy

PDF Notes + Deep Learning -> AI-Generated Slides

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

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

Gap filled question generator

Keyword based searching and matching algorithm using Deep NLP

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

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

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

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

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.

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

Rapid Keyword Extraction Algorithm

Django Project 2

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

This repo contains nlp pipeline and openai API integration

This Python project shows how to build a content based recommendation system. Data is related to movies.

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

Yōyaku is a PDF annotation tool designed with Flask to extract keywords and key phrases from institutional documents.It leverages Large Language Models (LLM) dependent on spaCY, RAKE and KeyBert to enable multilingual annotation of PDF documents.