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| title: Resume-Analyzer | |
| emoji: 📄 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: 1.28.0 | |
| app_file: src/app.py | |
| pinned: false | |
| license: mit | |
| # 🚀 AI-Powered Resume Analyzer | |
| A comprehensive resume analysis tool built with Streamlit that provides detailed insights, ATS scoring, and actionable feedback for job seekers. | |
| ## ✨ Features | |
| ### Core Functionality | |
| - **Multi-format Support**: Upload PDF, DOCX, or TXT resumes | |
| - **Smart Text Extraction**: Advanced parsing for different file types | |
| - **Section Identification**: Automatically detects Education, Experience, Skills, etc. | |
| - **ATS Scoring**: Comprehensive analysis of ATS-friendliness | |
| - **Role-based Matching**: Keyword matching for specific job roles | |
| ### Advanced Analysis | |
| - **Skill Extraction**: Identifies technical and soft skills | |
| - **Grammar Check**: Built-in language quality assessment | |
| - **Keyword Optimization**: Fuzzy matching for role-specific terms | |
| - **Visual Analytics**: Word clouds, charts, and interactive dashboards | |
| ### Unique Features | |
| - **AI Persona Summary**: Generates LinkedIn-style professional summaries | |
| - **Interactive Dashboard**: Multiple analysis tabs with rich visualizations | |
| - **Downloadable Reports**: Comprehensive PDF reports with actionable insights | |
| - **Real-time Feedback**: Instant suggestions for improvement | |
| ## 🎯 Supported Job Roles | |
| - Data Scientist | |
| - Software Engineer | |
| - Product Manager | |
| - Marketing Manager | |
| - Data Analyst | |
| ## 🚀 How to Use | |
| 1. **Select Job Role**: Choose your target position from the sidebar | |
| 2. **Upload Resume**: Support for PDF, DOCX, and TXT formats | |
| 3. **Get Analysis**: Comprehensive scoring and feedback across 5 categories: | |
| - 📊 Overview & AI Summary | |
| - 🎯 Skills Analysis & Job Matching | |
| - 📝 Section Breakdown | |
| - 🔍 ATS Compatibility | |
| - 📋 Detailed Report & Suggestions | |
| ## 📊 Analysis Features | |
| ### 1. Resume Overview | |
| - Basic statistics (word count, sections) | |
| - AI-generated persona summary | |
| - Word cloud visualization | |
| ### 2. Skills Analysis | |
| - Technical skills detection | |
| - Soft skills identification | |
| - Job role matching with percentage scores | |
| - Skills gap analysis | |
| ### 3. Section Breakdown | |
| - Automatic section parsing | |
| - Content preview for each section | |
| - Missing section identification | |
| ### 4. ATS Analysis | |
| - Comprehensive ATS scoring (0-100) | |
| - Grammar and language quality check | |
| - Improvement recommendations | |
| - Visual score dashboard | |
| ### 5. Report Generation | |
| - Overall performance metrics | |
| - Detailed strengths and weaknesses | |
| - Actionable improvement suggestions | |
| - Downloadable analysis reports | |
| ## 🔧 Technical Stack | |
| ### Libraries Used | |
| - **Streamlit**: Web interface and deployment | |
| - **PyPDF2/pdfplumber**: PDF text extraction | |
| - **python-docx**: DOCX file processing | |
| - **NLTK**: Natural language processing | |
| - **spaCy**: Advanced NLP and entity recognition | |
| - **fuzzywuzzy**: Fuzzy string matching | |
| - **language-tool-python**: Grammar checking | |
| - **scikit-learn**: Machine learning utilities | |
| - **plotly/matplotlib**: Data visualization | |
| ## 📈 Scoring Methodology | |
| ### ATS Score (0-100) | |
| - **Section Completeness** (40%): Presence of key sections | |
| - **Text Length** (20%): Optimal word count range | |
| - **Contact Information** (20%): Email and phone detection | |
| - **Format Structure** (20%): Bullet points and formatting | |
| ### Role Match Score (0-100%) | |
| - Keyword presence analysis | |
| - Fuzzy matching for variations | |
| - Industry-specific term recognition | |
| - Skills alignment assessment | |
| ## 🎨 Key Features | |
| ### Interactive UI | |
| - **Responsive Design**: Works on desktop and mobile | |
| - **Interactive Tabs**: Organized analysis sections | |
| - **Progress Indicators**: Visual feedback during processing | |
| - **Color-coded Metrics**: Intuitive score visualization | |
| - **Badge System**: Clean skill and keyword display | |
| ### Smart Analysis | |
| - **AI-Powered Summaries**: Professional persona generation | |
| - **Contextual Feedback**: Role-specific recommendations | |
| - **Visual Analytics**: Charts, graphs, and word clouds | |
| - **Export Functionality**: Download comprehensive reports | |
| ## 🔍 Usage Tips | |
| ### For Best Results | |
| - Upload high-quality, text-based files (avoid scanned images) | |
| - Ensure your resume includes standard sections | |
| - Use the role selector to get targeted keyword analysis | |
| - Review all analysis tabs for comprehensive insights | |
| ### Optimization Recommendations | |
| - Include relevant keywords naturally in context | |
| - Use standard section headings (Experience, Education, Skills) | |
| - Add quantifiable achievements with numbers | |
| - Balance technical and soft skills | |
| - Keep formatting clean and ATS-friendly | |
| ## 🔐 Privacy & Security | |
| - **No Data Storage**: Resume content is processed in memory only | |
| - **Local Processing**: All analysis happens on the server without external API calls | |
| - **Secure Handling**: Files are processed securely and not retained | |
| - **Privacy First**: Your resume data remains confidential | |
| ## 🤝 Perfect For | |
| - **Job Seekers**: Optimize resumes for specific roles | |
| - **Career Counselors**: Provide data-driven feedback | |
| - **Students**: Improve academic and entry-level resumes | |
| - **Professionals**: Enhance career transition materials | |
| - **Recruiters**: Quick candidate assessment tool | |
| ## 🚀 Get Started | |
| Simply upload your resume above and select your target job role to receive comprehensive analysis and actionable insights! | |
| --- | |
| **Made with ❤️ for job seekers worldwide** | |
| *Help us improve by providing feedback and suggestions!* |