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ParthAhuja14/tech-stack-recommender

热度 65 更新于 开发与构建

Python-based recommendation engine that matches user skills against software engineering roles, ranks recommendations by percentage match, and provides explainable career suggestions.

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安装

暂未验证可直接使用的安装命令,请查看项目官方文档或 Release。

🧭 Tech Stack Recommender — Intelligent Career Role Recommendation Engine

[](https://github.com/ParthAhuja14/tech-stack-recommender/actions/workflows/ci.yml)

A Python-based recommendation engine that analyzes a user's technical skills and recommends the most suitable software engineering roles using a transparent skill-matching algorithm. Designed as a lightweight, explainable career recommendation system.

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📖 Table of Contents

  • Overview
  • Problem Statement
  • Architecture
  • Project Structure
  • Installation
  • Usage
  • Example Output
  • Recommendation Methodology
  • CLI Arguments
  • Testing
  • Tech Stack
  • Future Improvements
  • License

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📌 Overview

Choosing the right software engineering career path can be difficult when multiple roles share overlapping skills.

This project simulates an intelligent career recommendation engine. Instead of relying on hard-coded career suggestions, it compares a user's skills against a dataset of job roles, calculates a percentage match for each role, ranks the results, and explains why each recommendation was made.

The application supports interactive mode, command-line arguments, and a demonstration mode for quickly showcasing the recommendation engine.

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🎯 Problem Statement

Design a lightweight recommendation engine that:

  • Accepts a user's technical skills
  • Compares them with predefined job-role requirements
  • Calculates a matching score
  • Returns the most suitable career paths ranked by relevance

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