Spaces:
Sleeping
Sleeping
File size: 2,531 Bytes
640fb7d 12f4c11 640fb7d 2bcfa76 48a1797 2bcfa76 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | ---
title: ResumeAnalyzer Mistral 7b Mangesh
emoji: ๐
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: 5.23.1
app_file: app.py
pinned: false
license: mit
short_description: A Resume Analyzer For an JobSeeker
hf_oauth: true
hf_oauth_scopes:
- inference-api
---
# Resume Analyzer App
# Resume Analyzer App
## Overview
The **Resume Analyzer App** is a powerful tool designed to evaluate and rank resumes based on their fit for a specific job. Ideal for recruiters screening candidates or job seekers refining their applications, this app scores resumes out of 100 using a data-driven approach. By comparing resumes to a provided job description, it delivers actionable insights to identify the best candidates or improve resume quality.
## Key Features
- **Job-Specific Analysis**: Evaluates resumes by comparing them to a user-provided job description.
- **Scoring Parameters**:
- Relevance to Job
- Experience Quality
- Skills Match
- Education & Certifications
- Achievements & Impact
- Clarity & Professionalism
- Customization
- **Detailed Feedback**: Provides a total score and breakdown by parameter, highlighting strengths and areas for improvement.
- **Flexible Weighting**: Adjusts scoring weights based on job type (e.g., emphasizing skills for tech roles).
- **Tech-Powered**: Built with Python, leveraging NLP (spaCy/NLTK), PDF parsing (PyPDF2/pdfplumber), and regex for robust analysis.
## How It Works
1. **Input**: Upload a resume (PDF or text) and a job description.
2. **Analysis**: The app extracts text, processes it with NLP, and scores it across defined parameters.
3. **Output**: Get a total score (e.g., 82/100) and a detailed breakdown (e.g., Skills: 14/15, Experience: 18/20).
4. **Ranking**: Compare multiple resumes to find the best fit for the job.
## Use Cases
- **Recruiters**: Quickly filter top candidates for a role.
- **Job Seekers**: Optimize your resume for a specific job posting.
- **Educators**: Teach students how to tailor resumes with data-backed feedback.
## Example
**Software Engineer Role**:
Score: 85/100
Relevance: 18/20, Skills: 14/15, Experience: 16/20, Clarity: 9/10, Customization: 8/10
## Why Use It?
- Saves time by automating resume screening.
- Provides objective, job-specific evaluations.
- Adapts to any industry or role with flexible scoring.
## ๐ License
**Your code** is licensed under the [MIT License](LICENSE).
Note: This Space uses external models (Mistral-7B) under their own licenses. |