🤖 ApplyMate — AI Job Application & Interview Assistant

ApplyMate is an AI-powered personal job assistant that automates your entire application journey — from customizing resumes & cover letters to auto-applying for jobs and preparing you for interviews with interactive mock questions.

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📌 Project Summary

ApplyMate streamlines the job hunting process by combining NLP, OCR, and generative AI.

• On signup, users provide personal details and upload their CV.
• When given a job description (text, file, or screenshot), ApplyMate parses the requirements and tailors a resume + cover letter.
• The system then applies automatically to the job portal on your behalf.
• Finally, ApplyMate supports you with interview prep, generating likely questions and simulating Q&A sessions with interactive cards.

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⚙️ Features

• 📝 Smart Resume Customization — Tailors CV for each job role
• 📄 Cover Letter Generator — Drafts professional letters aligned with JD
• 📤 Auto Job Application — Submits applications on your behalf
• 🖼 Multi-Input JD Parsing — Accepts JD as text, PDF, or image (OCR)
• 🎤 Interactive Interview Prep — Mock questions & practice cards
• 🧠 AI-Powered — Uses NLP & LLMs for semantic understanding
• 📊 Application Tracking — Keeps record of applied jobs
• 🌐 Web App — Accessible from browser, no installs needed
• ⚡ Deployed on Vercel for scalability and smooth user access

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🧰 Tech Stack

Component	Tool / Service
Language	Python 3.x / JavaScript
Backend Framework	FastAPI / Flask / Node.js
Frontend	React / Next.js
Deployment	Vercel (Web App Hosting)
AI / NLP	OpenAI API / HuggingFace
OCR	Tesseract / EasyOCR
DB & Auth	Supabase (PostgreSQL)
File Storage	Supabase Buckets / Google Drive
Styling / UI	TailwindCSS / Shadcn UI
State Mgmt	Redux / Context API
Notifications	Email / Discord / WhatsApp API

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🗂 Folder Structure

ApplyMate/
├── backend/                 # API logic (resume, JD parsing, auto apply)
│   ├── main.py              # FastAPI entry point
│   ├── resume_builder.py    # Resume customization logic
│   ├── cover_letter.py      # Cover letter generator
│   ├── jd_parser.py         # Job description parsing (OCR + NLP)
│   ├── auto_apply.py        # Job application automation
│   ├── interview_prep.py    # Mock interview module
│   ├── database.py          # Supabase/Postgres integration
│   └── requirements.txt     # Python dependencies
│
├── frontend/                # Next.js + React web app
│   ├── pages/               # Routes
│   ├── components/          # Reusable UI components
│   ├── styles/              # TailwindCSS + Shadcn UI styling
│   └── package.json         # Node dependencies
│
├── .env.example             # Environment variable template
├── README.md                # Documentation
└── vercel.json              # Vercel deployment config

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📝 Setup Instructions

1) Clone the Repository

git clone https://github.com/your-username/ApplyMate.git
cd ApplyMate

2) Backend Setup

cd backend
pip install -r requirements.txt

Configure .env:

OPENAI_API_KEY=your_openai_key  
SUPABASE_URL=your_supabase_url  
SUPABASE_KEY=your_supabase_key  
GOOGLE_CREDENTIALS=path_to_google.json  

Run backend:

uvicorn main:app --reload

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3) Frontend Setup

cd frontend
npm install
npm run dev

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4) Deploy on Vercel

1. Push repo to GitHub.
2. Go to Vercel.
3. Import repo → Select frontend as root → Add env vars.
4. Deploy 🎉

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🚀 How It Works

1. Signup → Provide details + upload CV
2. Input JD → Upload as text, file, or screenshot
3. Customization → AI rewrites CV & cover letter
4. Auto-Apply → Fills forms & submits application
5. Interview Prep → Interactive Q&A session with mock questions

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📩 Contact

👤 Usama Shahid

📧 dev.usamashahid@gmail.com

🔗 LinkedIn

🐙 GitHub

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📜 License

This project is for academic and career-assistance purposes. Feel free to fork & improve, but credit is appreciated 🙏