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

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

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

Gap filled question generator

Keyword based searching and matching algorithm using Deep NLP

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

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

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.

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.

A Streamlit web app that automatically extracts blog content from a given URL and suggests SEO-friendly tags using NLP-based techniques such as frequency analysis, RAKE (Rapid Automatic Keyword Extraction), and KeyBERT.