ApplyIntel: Job Application Tracker

ApplyIntel is a full-stack job application tracking and analytics dashboard. It helps you manage application workflows, monitor pipeline health, and keep follow-ups on schedule.

Live Demo

API Health Check Wake Up the Server

Frontend Application Client

Overview

ApplyIntel transforms a scattered job search into a structured, trackable system.
Instead of using spreadsheets or notes, users manage applications through a clean dashboard with analytics, follow-up tracking, and pipeline insights.

The platform simulates a lightweight ATS (Applicant Tracking System) tailored for individual job seekers.

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Screenshots

Dashboard Overview

Application Form + Pipeline Table

Highlights

• Full CRUD job application tracking with soft delete + undo
• Application pipeline tracking (Applied → Interview → Offer → Rejected)
• Follow-up management queue (due today, upcoming, saved)
• Search, filter, sort, and pagination across applications
• CSV export for external tracking or reporting
• Status analytics and response-rate visualization
• Clean dashboard UI with interactive charts

Tech Stack

Frontend

• Next.js (TypeScript, App Router)
• Framer Motion (UI animations)
• Chart.js + react-chartjs-2 (analytics visualization)
• Axios (API communication)

Backend

• FastAPI (Python)
• SQLAlchemy ORM
• Uvicorn (ASGI server)

Database

• SQLite (default local development)
• PostgreSQL compatible via DATABASE_URL

Deployment

• Vercel — frontend hosting
• Render — backend API hosting

Architecture

• apps/frontend: Next.js UI
• services/api: FastAPI service + SQLAlchemy models
• docs/: Screenshots and deployment notes

Architecture follows a modern full-stack separation:

• Frontend consumes REST APIs
• Backend handles business logic + analytics
• Database persists applications and metrics

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Core API Endpoints

Method	Endpoint	Description
GET	/health	API health check
POST	/applications	Create application
GET	/applications	List/search/filter applications
PATCH	/applications/{id}	Update application
DELETE	/applications/{id}	Soft delete
POST	/applications/{id}/restore	Restore deleted
GET	/stats	Dashboard analytics

Applications Response Shape

{
  "items": [],
  "total": 0
}

Local Development

1) Backend API

From jobtrackr/services/api:

python -m venv .venv
# Windows
.venv\Scripts\activate
# macOS/Linux
# source .venv/bin/activate

pip install -r requirements.txt
uvicorn main:app --reload --port 8000

Verify:

• http://localhost:8000/health -> { "ok": true }

2) Frontend Web App

From jobtrackr/apps/frontend:

npm install
npm run dev

Open:

• http://localhost:3000

Optional PostgreSQL

Set DATABASE_URL before starting the backend:

PowerShell:

$env:DATABASE_URL="postgresql+psycopg2://postgres:postgres@localhost:5432/jobtrackr"
uvicorn main:app --reload --port 8000

bash:

export DATABASE_URL="postgresql+psycopg2://postgres:postgres@localhost:5432/jobtrackr"
uvicorn main:app --reload --port 8000

Environment Variables

• DATABASE_URL — SQLAlchemy database URL (SQLite by default).
• ALLOWED_ORIGINS — comma-separated list of allowed frontend origins.
• NEXT_PUBLIC_API_BASE_URL — API base URL for the frontend.

Deployment

See docs/DEPLOYMENT.md for Vercel + Render instructions. Render uses the Python version in services/api/runtime.txt (currently python-3.12.8).

ApplyIntel demonstrates practical full-stack engineering skills:

• Production-style API design
• Database modeling + persistence
• Analytics dashboard development
• Full CRUD lifecycle with UX focus
• Real-world problem solving for job seekers It simulates internal tools used by recruiting teams and applicant tracking systems.