FastAPI Backend

Building End-to-End FastAPI Social Media API

I started this project while following the comprehensive 19-hour FastAPI course by freeCodeCamp — but my goal wasn’t just to build a “social media API.”

I’m building a solid, production-ready backend that can power a variety of applications — from NLP-driven platforms to computer vision web apps, not just social media. This project is my starting point for mastering end-to-end machine learning solutions.

Tech Stack:

- Backend: FastAPI (Python)

- Database: PostgreSQL (production), SQLite (local)

- ORM & Migrations: SQLAlchemy + Alembic

- Auth: JWT, OAuth2

- Deployment: Heroku, Ubuntu VM, NGINX, Gunicorn

- Testing: Pytest

- Containerization: Docker & Docker Compose

Current Features:

- Secure User Authentication & Authorization (JWT, OAuth2)

- CRUD Operations for Posts

- Voting system (upvote/downvote)

- Pagination & Search

- Database migrations with Alembic

- Designed for SQLite (easy local setup) and PostgreSQL (production-ready)

What I’m Learning & Planning to Implement Next:

- Alembic migrations on production (Heroku, Ubuntu VM)

- Deployment pipelines with GitHub Actions and CI/CD best practices

- Production setup: Gunicorn, NGINX, SSL, Domain configuration, Firewall

- Containerization: Docker, Docker Compose, Postgres containerization

- Automated testing: Pytest with fixtures, parametrization, test databases

- Caching strategies using Redis for improved performance

- Continuous improvements to project structure and security

This project is still pre-v1 — a foundation I’m continuously building on as I deepen my skills and prepare to integrate advanced ML features on top.