resumePolice  by itMrBoy

Resume and interview assistant

Created 1 month ago
1,835 stars

Top 23.5% on SourcePulse

GitHubView on GitHub
Project Summary

This project provides AI-powered tools for resume review and interview question generation, targeting job seekers and hiring managers. It aims to improve resume quality and streamline the interview process by offering structured feedback and generating targeted interview questions.

How It Works

The core of the project utilizes a "Critique-Analyze-Suggest" model for resume evaluation, directly identifying issues, explaining their negative impact, and proposing concrete solutions. For interview question generation, it employs persona-based approaches (e.g., "Legendary CTO") with structured methodologies like "four-step exploration" and the "P.O.S.E.R. model" to create in-depth, potentially challenging questions.

Quick Start & Requirements

  • Installation: Import provided .yml workflow files into a Dify application platform or drag-and-drop them onto the Dify application page.
  • Prerequisites: Requires a Dify account and API keys for LLM providers (e.g., Google API Key for Gemini).
  • Resources: Setup involves configuring API keys and importing workflows.

Highlighted Details

  • Offers multiple prompt versions for resume evaluation and interview question generation, catering to different needs.
  • Provides Dify workflow files for seamless integration with the Dify platform.
  • Includes a "Resume Police Chat" workflow for multi-turn conversational resume refinement.
  • Features "Interviewer Perspective" workflows for generating structured interview questions.

Maintenance & Community

  • The project acknowledges support from AiHubMix for API call quotas.
  • A ChangeLog indicates ongoing development, with a recent addition of Dify workflows.

Licensing & Compatibility

  • No explicit license is mentioned in the provided README.

Limitations & Caveats

  • The project's functionality is dependent on the Dify platform and the availability and configuration of external LLM APIs.
  • No specific performance benchmarks or comparative analyses are presented.
Health Check
Last Commit

1 week ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
1
Star History
275 stars in the last 30 days

Explore Similar Projects

Starred by Eric Zhu Eric Zhu(Coauthor of AutoGen; Research Scientist at Microsoft Research) and Chip Huyen Chip Huyen(Author of "AI Engineering", "Designing Machine Learning Systems").

PromptWizard by microsoft

0.4%
4k
Agent-driven framework for task-aware prompt optimization
Created 1 year ago
Updated 1 month ago
Feedback? Help us improve.