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| title: Standalone Resume & Job Matcher | |
| emoji: π | |
| colorFrom: purple | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 4.31.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # π Standalone Resume & Job Matcher | |
| This Space hosts a powerful, zero-dependency tool for comprehensive resume analysis and job description matching. It's designed to help both **job seekers** optimize their applications and **recruiters** quickly assess candidate suitability. The entire application runs from a single Python file with no external dependencies, making it incredibly fast and easy to use. | |
| ## β¨ Key Features | |
| - **π― Smart Role Prediction**: Paste a resume and the AI will predict the most suitable job role from a database of over 20 distinct positions, complete with a confidence score. | |
| - **π Detailed Skill Gap Analysis**: Identifies which required skills are present and which are missing for a predicted role, helping you pinpoint areas for improvement. | |
| - **π Resume vs. Job Description Matching**: Get a detailed compatibility score by comparing a resume directly against any job description. | |
| - **π‘ Actionable Career Roadmap**: Receive personalized, actionable advice with a short-term (1-3 months) and long-term (1-2 years) career development plan. | |
| - **π° Salary & Experience Insights**: The internal database includes typical salary ranges and experience levels for each job role. | |
| - **βοΈ Zero Dependencies**: The entire logic for parsing, scoring, and analysis is self-contained. No API keys or external libraries (beyond Gradio) are needed. | |
| --- | |
| ## π§ How to Use | |
| The application is split into two main tabs for different use cases. | |
| ### 1. Profile Analysis | |
| This tab is perfect for getting a deep understanding of a candidate's profile or your own resume. | |
| 1. Navigate to the **"π― Profile Analysis"** tab. | |
| 2. Paste the full text of a resume or professional profile into the input box. | |
| 3. Click the **"π Analyze Profile"** button. | |
| 4. Explore the results in the output tabs: | |
| * **Role Classification**: See the top 5 predicted roles with match scores. | |
| * **Skill Gap Analysis**: View matching skills, missing skills, and learning recommendations. | |
| * **Career Roadmap**: Get a visual guide for your next career steps. | |
| ### 2. Profile vs. Job Description Matching | |
| This tab is ideal for checking how well a resume fits a specific job opening. | |
| 1. Navigate to the **"π Profile vs. Job Description"** tab. | |
| 2. Paste the candidate's resume text in the left box. | |
| 3. Paste the target job description in the right box. | |
| 4. Click the **"π Analyze Match Score"** button. | |
| 5. Review the outputs: | |
| * **Match Score & Analysis**: A JSON output with the overall score and breakdown. | |
| * **Detailed Breakdown**: A color-coded visual report showing the match level, matching vs. missing skills, and key recommendations. | |
| --- | |
| ## π οΈ How It Works | |
| This tool uses a multi-faceted approach to analyze text without relying on large language models or external APIs: | |
| 1. **Text Parsing**: A rule-based parser segments the resume into logical sections like `Education`, `Experience`, and `Skills`. | |
| 2. **Skill Extraction**: The text is scanned against a comprehensive internal database of over 200 technical, business, and soft skills. | |
| 3. **Scoring Algorithm**: Role matching is determined by a weighted score combining three factors: | |
| * **Skill Match Score (40%)**: The percentage of required skills found in the profile. | |
| * **Keyword Score (30%)**: The frequency of role-specific keywords (e.g., "M&A", "agile", "SEO") in the text. | |
| * **Text Similarity Score (30%)**: A TF-IDF-inspired cosine similarity calculation between the profile text and the role's description. | |
| --- | |
| ## π How to Deploy Your Own | |
| You can easily run this application in your own Hugging Face Space. | |
| 1. **Create a Space**: Click the "Create new Space" button on Hugging Face. | |
| 2. **Configure**: Give it a name, select "Gradio" as the SDK, and choose a free CPU resource. | |
| 3. **Add Files**: | |
| * Create a file named `app.py` and paste the Python code into it. | |
| * (Optional) Create a `requirements.txt` file and add one line: `gradio`. | |
| * (Optional) Create this `README.md` file to give your space a professional look. | |
| That's it! The Space will build and launch your application automatically. |