Project Overview

A Python-based AI agent for resume creation, review, and ATS optimisation, built as a personal productivity tool using vibe coding. Supports multiple LLM backends — Gemini 2.0 Flash and Groq (free tiers) as primary models, OpenAI GPT-4o as the paid fallback — making it cost-effective for daily use.

Three Operating Modes

• Create mode: Guided Q&A that builds a complete resume from scratch through a conversation. Asks targeted questions about experience, skills, and achievements, then generates a well-structured, ATS-friendly document.
• Review mode: Accepts an uploaded PDF, DOCX, or TXT resume and returns structured, actionable feedback — formatting, content gaps, keyword density, and clarity improvements.
• Update mode: Takes an existing resume and a target job description, performs ATS keyword analysis, and rewrites or enhances sections to maximise match score for that specific role.

Features

• Free-form conversation mode for iterative refinement — continue editing after initial generation.
• DOCX export — outputs clean, ATS-friendly Word documents with proper heading hierarchy and formatting.
• Rich terminal UI with inline commands (save, load, reset, quit) for a smooth interactive experience.
• Multi-provider switching — swap LLM backend via a single config flag without changing any other code.

Tech Stack

• Python, Gemini API (gemini-2.0-flash), Groq API (llama-3.3-70b), OpenAI API (gpt-4o), Rich library for terminal UI.