AI-Powered Resume Analyzer – Overview This project allows users to upload their resumes, and the system analyzes them using AI to provide feedback and suggestions.

Tech Stack: Frontend: React.js (for UI)

Backend: Node.js, Express.js (for API)

Database: MongoDB (for storing resumes and analysis history)

AI Integration: OpenAI API or spaCy/NLP.js (for text analysis)

File Handling: Multer (for handling file uploads)

Basic Features: ✅ Upload resumes in PDF/DOC format ✅ Extract text and analyze skills, experience, education ✅ Match resume against job descriptions ✅ Provide suggestions for improvement ✅ Store analyzed resumes for users

#backend run $npm run dev

AI - Powered Resume Analyzer is a tool that uses artificial intelligence to analyze resumes and provide insights on how well they match the requirements of a job posting. It can help recruiters and hiring managers to quickly and accurately identify the most qualified candidates for a position. Here are some of the key features of AI - Powered Resume Analyzer:

1. Resume Parsing: The tool can parse resumes and extract relevant information such as work experience, education

Step 3: Implement the Resume Parser

To implement the resume parser, we will use a combination of natural language processing (NLP) and machine learning algorithms. We will use the following steps:

1. Preprocessing: We will preprocess the resume text by removing stop words, stemming words, and lemmatizing words.
2. Tokenization: We will split the resume text into individual words or tokens.
3. Part-of-Speech (POS) Tagging: We will identify the part of speech