Skip to content

An intelligent Resume Analyzer built with Django, React/React Native, and LLM Models to analyze resumes, generate insights, rate skills, and improve professional documents using AI.

Notifications You must be signed in to change notification settings

CODE-WITH-AMUL/resume_analyzer

Repository files navigation

Resume Analyzer Logo

Resume Analyzer — AI Powered Resume Evaluation System

An intelligent Resume Analyzer built with Django, React/React Native, and LLM Models to analyze resumes, generate insights, rate skills, and improve professional documents using AI.


Live Screens

GetStared Page

Screenshot 1

Login Page

Screenshot 4

Register Page

Screenshot 5

Home Page

Screenshot 6

Upload Page

Screenshot 7

Analyze Page

Screenshot 2

Profile Page

Screenshot 3

Features

AI-Based Resume Analysis

  • Extract education, experience, skills from PDF/DOCX
  • Identify weaknesses in resume
  • Provide rating & keywords for ATS
  • Highlight missing skills for job roles

User Dashboard

  • Manage resumes
  • See history of analyzed CVs
  • Detailed scoring and suggestions

Profile System

  • Save name, image & personal data
  • Track all resume uploads
  • Secure login with JWT/DRF authentication

Clean UI with Modern Design

  • Home → Upload Resume → Result → Profile
  • Responsive & smooth animations
  • Mobile app also included (React Native / Expo)

Tech Stack

Backend (Django + DRF)

  • Django
  • Django REST Framework

Frontend (React / React Native)

  • React
  • React Native & Expo
  • Tailwind / Bootstrap
  • Axios for API calls

Installation Guide

Clone Repo**

git clone https://github.com/CODE-WITH-AMUL/resume_analyzer.git
cd resume_analyzer

Install Dependencies**

pip install -r requirements.txt
npm i

Run the Server**

python manage.py runserver
npm start

About

An intelligent Resume Analyzer built with Django, React/React Native, and LLM Models to analyze resumes, generate insights, rate skills, and improve professional documents using AI.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published