🚀 ResumeIQ - AI-Powered Resume Analyzer

An AI-powered Resume Analysis Platform that evaluates resumes using ATS scoring, semantic similarity, skill-gap detection, and Google Gemini AI.

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📖 Overview

ResumeIQ is an intelligent resume analysis platform built using Flask, SQLite, and Google Gemini AI. It helps job seekers evaluate how well their resumes match a given job description by combining traditional ATS techniques with AI-powered analysis.

Instead of relying only on keyword matching, ResumeIQ performs:

• AI Resume Parsing
• Semantic Resume Matching
• ATS Score Calculation
• Skill Gap Detection
• AI-Based Resume Feedback
• Resume Analysis History

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✨ Features

👤 Authentication

• User Registration
• Secure Login
• Password Hashing
• Session Management

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📄 Resume Processing

• Upload PDF Resume
• Extract Resume Text
• Resume Information Parsing
• Candidate Information Extraction

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🤖 AI Analysis

Powered by Google Gemini AI

ResumeIQ extracts:

• Skills
• Projects
• Experience
• Education
• Certifications

It also generates:

• Resume Strengths
• Resume Weaknesses
• Missing Skills
• Personalized Recommendations
• Overall Resume Summary

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📊 ATS Score

ResumeIQ calculates an ATS score using multiple factors:

Factor	Weight
Resume Similarity	40%
Skill Match	30%
Projects	10%
Experience	10%
Education	5%
Certifications	5%
Missing Skills Penalty	Up to -20

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📈 Dashboard

Interactive dashboard showing:

• ATS Score
• Resume Match Score
• Skill Match Analysis
• ATS Breakdown
• Resume Recommendations
• Analysis Charts

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📚 Analysis History

Each resume analysis is stored for future reference.

Users can view:

• Job Role
• ATS Score
• Similarity Score
• Analysis Date
• Previous Results

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🏗️ Project Structure

ResumeIQ/
│
├── app.py
│
├── database/
│   ├── database.py
│   ├── save_analysis.py
│   ├── schema.sql
│   └── database.db (generated locally)
│
├── routes/
│   ├── auth.py
│   ├── dashboard.py
│   ├── analysis.py
│   └── history.py
│
├── services/
│   ├── pdf_parser.py
│   ├── gemini_service.py
│   ├── similarity.py
│   └── ats_service.py
│
├── static/
│   ├── css/
│   └── js/
│
├── templates/
│
├── uploads/
│
├── requirements.txt
│
└── README.md

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🛠️ Tech Stack

Backend

• Python
• Flask

Database

• SQLite

AI

• Google Gemini API

Machine Learning

• TF-IDF Vectorizer
• Cosine Similarity

Frontend

• HTML5
• CSS3
• JavaScript
• Bootstrap Icons
• Plotly.js

Libraries

• PyMuPDF
• Scikit-learn
• Werkzeug

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⚙️ Installation

Clone Repository

git clone https://github.com/yourusername/ResumeIQ.git

cd ResumeIQ

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Create Virtual Environment

python -m venv .venv

Activate environment

Windows

.venv\Scripts\activate

Linux / macOS

source .venv/bin/activate

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Install Dependencies

pip install -r requirements.txt

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Configure Gemini API

Create a .env file

GEMINI_API_KEY=YOUR_API_KEY

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Initialize Database

python app.py

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Run Application

python app.py

Open:

http://127.0.0.1:5000

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📊 Workflow

User Uploads Resume
        │
        ▼
Extract PDF Text
        │
        ▼
Gemini Resume Parsing
        │
        ▼
Semantic Similarity
        │
        ▼
ATS Score Calculation
        │
        ▼
AI Recommendation
        │
        ▼
Save Analysis
        │
        ▼
Dashboard + Charts

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📸 Screenshots

Add screenshots here:

• Login Page

• Registration Page

• Dashboard

• ATS Result

• Charts

• History Page

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🎯 Future Enhancements

• Resume PDF Report Export
• Resume Optimization Suggestions
• Multiple Resume Comparison
• Recruiter Dashboard
• AI Resume Builder
• Cover Letter Generator
• Interview Question Generator
• Email Resume Sharing
• Cloud Database Support

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👨‍💻 Author

Devansh Mankad

Computer Engineering Student

• GitHub: https://github.com/Devansh-Mankad

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⭐ Support

If you found this project useful, consider giving it a ⭐ Star on GitHub.

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📄 License

This project is licensed under the MIT License.