resumejob/jobtracker

Organize your job application with python and chatbot

jobtracker's Issues

Support Llama

We would like to support Local LLMs like Llama, Have a look at

1. ollama which also supports API call
2. llama-cpp-python

Let the user use commend line args to choose LLM they want to use,

python3 main.py -l chatgpt

Use email date instead of date from Ai bot

We already get the date from utils.get_mail_info, we can use that date and put it in main.process_email instead of get date using ai bot

Add tutorial and example

1. text/video example to tell the user how to export mail to mbox format/import CSV to the notion or excel.
2. step by step video / text tutorial to walk through a basic whole example (with fake email content)

Improve classify accuracy

The prompt

"If this is a mail from a company I applied to or interviewed with before, use get_mail_info to get information"

It may incorrectly classify numerous emails that are unrelated to job applications. Try to improve accuracy by using another prompt or several prompts.(There are also other ways to improve it like to check if the sender ua se company domain in his/her email address

Add CI to run tests

Use GitHub Aciton to run test

Add .env for API_KEY

Move API_KEY = 'your_api_key' environment variable from config.py to .env.

add estimated cost

If the user using ChatGPT, display the estimated cost and let the user confirm before processing

Generate emails in MBOX format

We will add a script to generate different kinds of emails and store them in MBOX format. We can use this mbox file to test the accuracy of the tool.

Add progress bar

Merge serveral same data into a single row

In example_output.csv, We can merge company and recipient_mail because they are the same

Compute the hash for each email to minimize redundant tasks

After using this tool, users may use it again after a period of time. At this point, emails that have been previously computed should not be recalculated. Users can specify a previously exported CSV file, and any emails that exist within it will not be recomputed.

Packaging and distributing to PyPi

Distribute the current project to PyPi so the user can install it using pip. Please have a look at Link

Auto save the result in some iterations.

Add checklist to next step

Just like interview-checklist, tell user a checklist when doing the next step. For example, the next step is "Send an email to abc@example to schedule a next-round HR call interview", the checklist may look like

• Confirm interview details: Review the interview time, date, and platform to ensure you have the correct information and avoid any scheduling misunderstandings.
• Review the job description: Understand the key requirements and responsibilities of the position to tailor your responses to the employer's needs.
• Familiarize yourself with your resume and cover letter: Be prepared to discuss specific points or experiences in detail if asked by the interviewer.

You may use a fixed response text for different next step

Merge state from the same company

In the current version, emails from the same company would be split into different rows, However, this is not what the user expects. It would be better to merge emails to the same row and only show the time in different states. For example

Company Name	State
ABC	- Applied: 7.12 - Next Round: 7.20 - Offer: 8.10