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ApplyIQ Project Context

Overview

ApplyIQ is an AI-powered internship automation platform. It matches job listings from LinkedIn, Internshala, and Unstop against a candidate's profile and helps generate tailored resumes and cover letters using Google Gemini API.

Technical Stack

  • Frontend: React + Vite + TailwindCSS + Zustand
  • Backend: FastAPI + SQLite (SQLAlchemy/aiosqlite)
  • AI: Google Gemini API (gemini-2.0-flash for generation, text-embedding-004 for matching)
  • Scraper: Automated job scraper scheduler (LinkedIn, Internshala, Unstop)

Active Tasks & Requirements

  1. Change 1 — Auth: Implement /signup and /signin pages with Google & LinkedIn OAuth, Zustand persistent auth context, and a protected route HOC wrapper.
  2. Change 2 — Auto Job ID/URL Fetching: Extract job ID and listing URL directly from job boards' API response (LinkedIn, Indeed, Internshala) and pass them automatically to resume/cover letter generator.
  3. Change 3 — AI Resume Generation: Dual-source approach (scraped patterns for company/role from Gemini + JD inference) for resume generation. Complete, ATS-optimized, downloadable ReportLab PDF.
  4. Change 4 — AI Cover Letter Generation: Personalized cover letter (3-4 paragraphs) using company name, role, user profile, and JD signals.
  5. Change 5 — My Dashboard Tab: /dashboard route with inline-editable personal details, Gemini-powered recommended skills, and HTML5 Drag & Drop file uploads (stored in IndexedDB/localStorage).

Current Stage

Researching the existing codebase to form an implementation plan. We are currently defining the design and implementation details in implementation_plan.md.