❌ The Problem:
Job Hunting is InefficientFor developers, manual job searching is a major productivity bottleneck. Spending hours scrolling through LinkedIn, Indeed, and corporate boards—only to read through irrelevant listings that do not align with your true stack—is an exhausting waste of engineering time.Traditional job search platforms rely on rigid keyword matching, missing the deeper context of your actual projects and experience.
💡 The Solution:
Intelligent AutomationTo solve this, I built Jobscout-AI—an open-source, agentic Python CLI tool that automates the screening process using a localized RAG (Retrieval-Augmented Generation) pipeline.
Instead of browsing manually, you feed the CLI your resume, and the automation handles the rest:Semantic Indexing: Uses ChromaDB to parse your resume and convert your technical experience into context-aware vector embeddings.
Agentic Querying: Formulates intelligent search parameters to scrape live remote and local job opportunities across major platforms.
AI Evaluation & Ranking: Leverages Gemini Flash to analyze the scraped jobs against your embedding space, delivering a perfectly ranked list of matching roles directly to your terminal.
🚀 Source Code & Live Docs
The project is fully open-source, modularly structured (Core, Data, Doc), and can be configured locally in under a minute.
Dive into the codebase here:
💻 GitHub Repository:[Github-Repo](https://github.com/Developer359/Jobscout-AI)
Live Documentation: [Docs](https://github.com/Developer359/Jobscout-AI)
If this automation helps optimize your workflow, please consider dropping a ⭐ Star on the repository to support the project. I would love to hear your feedback or feature suggestions in the comments!