Resume Analyzer AI

A sophisticated AI-powered resume analysis tool that provides comprehensive feedback on your resume's content, structure, and effectiveness. Built with Python UV and Google Gemini AI.

Features

- AI-Powered Analysis

• Smart Content Review: In-depth analysis using Google Gemini AI
• Job Role Tailoring: Specific recommendations based on target positions
• Actionable Insights: Practical suggestions for improvement

- Structural Analysis

• Comprehensive Metrics: Word count, readability score, section coverage
• Quality Assessment: Professional evaluation of resume structure
• Industry Benchmarks: Comparison against optimal resume standards

- Professional Feedback

• Content Quality: Evaluation of impact and effectiveness
• Skills Presentation: Assessment of technical and soft skills display
• Experience Optimization: Suggestions for better experience descriptions
• ATS Optimization: Tips for applicant tracking system compatibility

- User-Friendly Interface

• Multi-Format Support: PDF and TXT file uploads
• Analysis History: Track previous analyses
• Export Results: Download comprehensive reports
• Real-time Processing: Instant feedback and suggestions

Quick Start

Prerequisites

• Python 3.8 or higher
• UV package manager
• Google Gemini API key

Installation

1. Clone the repository

git clone https://github.com/yourusername/resume-analyzer-ai.git
cd resume-analyzer-ai

2. Set up virtual environment with UV

uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install dependencies

uv sync

4. Configure environment variables

cp .env.example .env

Edit .env file and add your Google Gemini API key:

GOOGLE_API_KEY=your_gemini_api_key_here

5. Run the application

uv run streamlit run src/main.py

The application will open in your browser at http://localhost:8501

📖 Usage Guide

1. Upload Your Resume

• Supported formats: PDF, TXT
• Maximum file size: 10MB
• Ensure text is selectable in PDF files

2. Specify Target Role (Optional)

• Enter the job title you're targeting
• Get role-specific recommendations
• Improve keyword optimization

3. Configure Analysis Options

• Content Quality & Impact
• Skills Presentation
• Experience Descriptions
• Achievements & Metrics
• Structure & Readability
• ATS Optimization
• Industry Alignment

4. Review Analysis Results

• Structural Analysis: Quantitative metrics and benchmarks
• AI Analysis: Qualitative feedback and suggestions
• Quality Assessment: Professional recommendations
• Export Options: Download comprehensive report

🔑 API Key Setup

• Getting Google Gemini API Key
• Visit Google AI Studio
• Sign in with your Google account
• Create a new API key
• Copy the key to your .env file

Environment Configuration

Create a .env file in the project root:

   GOOGLE_API_KEY=your_actual_gemini_api_key