Ai Resume Analyzer is a tool which parses information from a resume using natural language processing and finds the keywords, cluster them onto sectors based on their keywords. And lastly show recommendations, predictions, analytics to the applicant based on keyword matching.

This is web application for the Resume Analyser.

Rates the quality of a candidate based on his/her resume using unsupervised approaches

Extracting relevant information from resume using deep learning.

Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job

Extracting keywords from a job description and looking for them in a resume

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

A handy tool to short-list resumes based on their scores.

resume categorizing tool

Web scraper & HR resume analytics in simple Python script.

📄 Shorten resumes in Word format

Welcome to the Resume Analyzer, where we turn the tedious task of hiring into a breeze! This tool analyzes resumes and job descriptions with flair, even tackling RTL languages like Persian. Say goodbye to resume chaos and hello to smart hiring—because finding the right candidate should be more fun than a game of hide and seek!

Imagine you're drowning in resumes for a job opening. This tool acts like a personal assistant, reading through each resume using Resume Parsing and smart algorithms to find the best candidates. It keeps track of all the info in a database and even gives you tips and recommendations based on the resumes. It's like having a super-efficient hiring

The AI Resume Analyzer is a Streamlit-based application that provides detailed resume analysis, skill recommendations, job search tools, and career insights. Utilizing NLP and machine learning, it helps users identify strengths and improvement areas, suggest relevant courses, and find job opportunities tailored to their profiles.