🚀 AI Resume Analyzer

A Smart Tool for Resume Analysis, Predictions, and Recommendations

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🌟 Overview

AI Resume Analyzer is a powerful tool built with Streamlit and NLP that parses resumes to extract key information, clusters them into sectors, and provides actionable insights. It helps applicants improve their resumes through recommendations and allows recruiters to analyze candidates efficiently.

🔴 Live Demo: Click Here to View App

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🛠 Features

👤 Client Side (Applicant)

• Resume Parsing: Extracts Name, Verified Email, Mobile Number, and Skills using NLP.
• Smart Recommendations: Suggests missing skills, relevant courses, and certifications.
• Job Role Prediction: Predicts the most suitable job role based on resume content.
• Resume Scoring: Provides an overall resume score with tips for improvement.
• Interview Preparation: Recommends curated YouTube videos for interview prep.

👮 Admin Side (Recruiter)

• Dashboard: View total applicant count and analytics.
• Data Export: Download all applicant data as a CSV file.
• Visual Analytics: Pie charts for user ratings, predicted roles, experience levels, and more.
• Feedback Management: View user feedback and ratings.

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💻 Tech Stack

• Frontend: Streamlit, HTML, CSS, JavaScript (Plotly)
• Backend: Python (Pandas, NLTK, Spacy, PyMySQL, PDFMiner)
• Database: MySQL (Localhost or Cloud)
• NLP Models: Spacy (en_core_web_sm), NLTK Stopwords

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🚀 Setup & Installation (Local Machine)

Follow these steps to run the project on your own system.

1️⃣ Prerequisites

Ensure you have the following installed:

• Python 3.9+
• MySQL Server (for database)
• git (optional, to clone repo)

2️⃣ Clone the Repository

Open your terminal request and run:

git clone https://github.com/vivekverma807/AI-Resume-Analyzer.git
cd AI-Resume-Analyzer

3️⃣ Option A: Automatic Setup (Recommended) ⚡

We have provided scripts to automate the setup process (create venv, install dependencies, setup DB, and run).

For Windows: Double-click run_app.bat or run in terminal:

.\run_app.bat

For Linux / Mac: Run in terminal:

chmod +x run_app.sh
./run_app.sh

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4️⃣ Option B: Manual Setup (If Script Fails) �️

Step 1: Create Virtual Environment

python -m venv venv
# Windows
.\venv\Scripts\activate
# Mac/Linux
source venv/bin/activate

Step 2: Install Dependencies

pip install -r App/requirements.txt
python -m spacy download en_core_web_sm
# Download NLTK data
python -c "import nltk; nltk.download('stopwords')"

Step 3: Setup Database Make sure your MySQL server is running. Then run this script to create the database automatically:

python App/Database_Scripts/create_db.py

(Default credentials used: user=root, password=Vivek@807. You can change these in App/App.py if needed.)

Step 4: Run the App

streamlit run App/App.py

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🔑 Admin Login Credentials

To access the Admin Dashboard:

• Username: admin
• Password: admin

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📨 Contact & Support

Developed with 🤍 by Vivek Kumar Verma.

• GitHub: vivekverma807
• Email: [email protected]

If you face any issues, strictly follow the QUICK_START.md guide included in the repo.

Built With

• batchfile
• python
• shell