Job Hunter Ke

Inspiration

Students and early-career applicants spend hours tailoring applications for every job and scholarship, only to get stuck on repetitive cover letters, resume edits, and follow-up tracking. We built Job Hunter KE to automate that grind and help job seekers focus on opportunities instead of paperwork.

What it does

Job Hunter KE:

scrapes job and scholarship listings
generates tailored cover letters, resumes, and application packages with AI
lets users review, approve, reject, and dispatch applications from one dashboard
imports a resume PDF/DOCX and auto-fills the professional summary
tracks deadlines, approved items, and inbound employer replies
sends reminders and captures email replies through automation

How we built it

Backend: Flask API with SQLite, AI integration, and PDF/DOCX parsing
Frontend: React + Vite + TypeScript dashboard
Automation: n8n workflows for reminders, scrape scheduling, and reply handling
Auth: API key-based access and Supabase-ready frontend auth support
Export: PDF, Word, Markdown outputs for documents

Challenges we ran into

handling CORS and local dev API routing while keeping the frontend and backend aligned
parsing real-world resumes from PDF and DOCX reliably
making profile auth and demo API key behavior work smoothly for both local demo and production flow
building a review-first UX that supports job and scholarship workflows in one app

Accomplishments that we're proud of

live resume import that extracts professional summaries automatically
end-to-end AI document generation for jobs and scholarships
full review workflow from scrape → approve → dispatch
integrated automation with n8n for reminders and email reply capture
a demo-ready README with setup and API key guidance

What we learned

real-world data parsing is hard, especially with diverse resume formats
auth and demo flows must be explicit for a seamless hackathon presentation
automation systems like n8n can turn a prototype into a workflow-ready product quickly
user experience matters as much as AI output when building application tools