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Suit Up

Suit Up is a smart job search pipeline that leverages Generative AI, Jobspy and VannaAI to track job opportunities that match your skills. By simply uploading your resume, Suit Up will scan and display relevant job listings from multiple sources, all in one centralized location. You can also play around with this data based on need with simple text queries.

What it does?

  • Converts resume into json through an extraction chain.
  • Uses an autogen group chat to identify potential search terms (roles), job types(fulltime, parttime, contract, internships) and location preferences.
  • Uses Jobpsy to search for jobs based on preferences.
  • Uses Vanna to let you control the data with simple human language.
  • Agents are specifically trained to look out of potential job roles you could be a good fit for.

What you can do with it?

  • At any point of time you can
    • Sync for a resume
    • Modify the resume
    • Retry extraction process for the same resume with a new seed
    • Change location, radius of search, job type, remote jobs, result count and much more.
    • Display as markdown or card-layout, whatever you like.
    • Control what model you want to be using.
    • Filter and play around with the data with simple text queries

How to use

  1. Setup vanna and open ai
  • Get your vanna credentials here and populate your .env based on config.py in root.
  • Get your open ai api key and add it to .env
  1. Install Requirements
$ pip install -r requirements.txt
  1. Train vanna
$ python AI/training.py
  1. Run the App
$ chainlit run chainlit.py

Settings

You can edit the settings and save them directly from the chainlit web client http://localhost:8000. The following settings are available:

model: Options["gpt-3.5-turbo", "gpt-4", (or any other OpenAI model)]
location: str (CITY, STATE)
distance: int
Job Type: Options["Any" , "fulltime", "parttime", "contract", "internship"]
is_remote: bool
results_wanted: int
easy_apply: bool (only for linkedIn)
display as markdown: bool (this is to enable tablular view of data)
country: str
hours_old: int

How it looks?

implementation.png implementation2.png implementation3.png

What could go wrong?

  • Sync Errors: Occasionally, the tool might fail to sync. This usually happens because the initial extraction chain encountered an issue, which is expected with LLMs. If this occurs, simply retrigger the process, and it should work correctly.
  • Speed Issues: It could take a minute or two to load up. Check the logs for more info.
  • Jobpsy has certain rate limiting controls. If you want to tinker with the code to bring in proxies, be my guest.

Notes

  • This is a tool meant for personal use.