Skip to main content

a prompt galary for llm

Project description


title: ATS Scoring App emoji: 📝 colorFrom: green colorTo: blue sdk: streamlit sdk_version: "1.38.0" app_file: app.py pinned: false

ATS Scoring App

Welcome to the ATS Scoring App. This app evaluates resumes based on their alignment with a job description (JD) using various scoring criteria.

Features

  • Keyword-Based Similarity: Measures how well the resume matches the job description based on keywords.
  • Positive/Negative Words: Assesses the impact of positive and negative words in the resume.
  • Resume Format: Checks the resume formatting for compliance with best practices.
  • Content Analysis: Detects images, tables, graphs, and charts in the resume.
  • JD Presence: Identifies if the job description is included in the resume.
  • Word Matrix Calculation: Analyzes word matrices using the XYZ formula.
  • Cosine Similarity: Computes similarity scores using cosine similarity.
  • Experience Match: Compares the user's experience with the job description requirements.
  • Education Match: Evaluates the educational qualifications listed in the resume.
  • Resume Parsability: Determines if the resume is in a format that can be parsed effectively.

How to Use

  1. Access the App: Visit the Hugging Face Spaces page for ATS Scoring App to interact with the application.

  2. Upload Your Data:

    • Upload the job description (JD) and resume files through the provided interface.
  3. Get Scores:

    • The application will process the inputs and provide scores based on the evaluation criteria.

Configuration

The app allows for customization through the config.json file. Here’s how you can configure it:

Features in Development

  • Customizable Parameters: Future updates may include options to adjust scoring parameters and keyword lists.
  • Advanced Analytics: Plans to add more detailed analytics and reports.

License

This project is licensed under the MIT License.

Contact

For questions or support, please reach out to ijaytelgote@gmail.com.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prompt_galary-0.1.0.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

prompt_galary-0.1.0-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file prompt_galary-0.1.0.tar.gz.

File metadata

  • Download URL: prompt_galary-0.1.0.tar.gz
  • Upload date:
  • Size: 3.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for prompt_galary-0.1.0.tar.gz
Algorithm Hash digest
SHA256 d9c84b9b31bd95d75f9b1db7b2122549a2a7f446ffd868f451156c3f517f188c
MD5 bc657736bf5909e9a021c80ff89eb0b5
BLAKE2b-256 eeecb1ad8757e2305ba44ac723e15efd7dd06fc9f47ece7f144109cdc9405688

See more details on using hashes here.

File details

Details for the file prompt_galary-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: prompt_galary-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.11

File hashes

Hashes for prompt_galary-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a487b9da04ebe4aa5d8f73c4e62140920213ff9da1d0412de1ad3b319c2feca1
MD5 f41737b8ac08284d3c78287295091c7b
BLAKE2b-256 d5fe0504f652cc26d0610e7b974ad41227ce572dd37654301ff2d99279e3d3ce

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page