Interview Question Tracker

A full-stack app for logging coding interview problems (sourced from places like Prachub and 1point3acres) with per-user accounts and spaced-repetition revision scheduling. Rate your confidence after solving a problem and the app schedules when to revisit it — 1, 3, 7, or 14 days out — so you spend study time on the problems you're actually shaky on.

Features

• Email/password authentication with hashed passwords and JWT tokens
• Per-user private problem lists (no user can see another user's data)
• Log a problem with its name, source link, company tag, and topic/pattern
• Spaced-repetition scheduling: rate confidence (Again / Hard / Good / Easy) and the next review date is calculated automatically
• Filter by "Due today," "Due in 2 days," "Due in 7 days," or "All"
• Clickable links back to the original problem source

Tech stack

Backend

• Python, FastAPI
• SQLAlchemy ORM, SQLite (dev) / PostgreSQL (production-ready)
• JWT authentication (python-jose), password hashing (passlib + bcrypt)

Frontend

• React (Vite)
• Tailwind CSS
• Fetch API for backend communication

Project structure

interview-tracker-project/ ├── backend/ │ ├── main.py # FastAPI app, routes, CORS config │ ├── models.py # SQLAlchemy models (User, Problem) │ ├── database.py # DB connection/session setup │ ├── auth.py # Password hashing, JWT creation/validation │ └── requirements.txt └── frontend/ ├── src/ │ ├── App.jsx # Main app: auth screen + tracker UI │ └── ... └── package.json

Running locally

Backend

cd backend
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
uvicorn main:app --reload

API runs at http://localhost:8000. Interactive docs at http://localhost:8000/docs.

Frontend

cd frontend
npm install
npm run dev

App runs at http://localhost:5173.

How the spaced repetition works

When you mark a problem's confidence after solving it, the next review date is set relative to today:

Confidence	Next review
Again	1 day
Hard	3 days
Good	7 days
Easy	14 days

This is a simplified version of the algorithm used by spaced-repetition tools like Anki — problems you're shaky on resurface sooner, problems you know well get pushed further out.

Roadmap

• Deploy backend (Render) and frontend (GitHub Pages/Vercel)
• Delete/edit problem entries
• Export data as CSV

Live app: https://monikagadage.github.io/interview-tracker/ Live API docs: https://interview-tracker-api-kn5y.onrender.com/docs

Note: the backend is on Render's free tier, which spins down after 15 minutes of inactivity. The first request after a while may take 30–50 seconds to wake up — that's expected, not a bug.