Frontend web development project built during my FlyRank internship, focused on developing a modern, responsive, and production-oriented web experience using React, Vite, and Tailwind CSS.
A polite web scraper: 60 books from Books to Scrape → validated JSON, with caching, retries and an honest run report.
A CRUD REST API built with Python and FastAPI, backed by SQLite for persistent storage. Same endpoints as the in-memory version — now tasks survive a server restart.
This is Flyrank AI's skeleton repo where you'll find assignments curated for each week, Data sets, notebooks, and basic instructions of the whole file in Guide and read.md
FlyRank.ai ML Internship — Applied Search Intelligence & Google Search Ranking/Discoverability.
Frontend AI Engineering Internship at FlyRank AI — a collection of weekly tasks, AI-assisted frontend projects, and practical development work using modern web technologies, Git/GitHub, and AI-powered development workflows.
A CRUD REST API built with Python and FastAPI, backed by PostgreSQL running in Docker. Swaps in a Postgres repository behind the same service/route layer used in the in-memory and SQLite versions — full stack starts with one command: docker compose up.
Official portfolio, applied machine learning research paper, and autonomous decision-support agent for Sohila Khaled Abbas (Applied ML Intern & Search Intelligence Engineer at FlyRank AI | BI Developer).
A machine learning research project for prioritizing webpages for content refresh using observable search and engagement signals.
A secure REST API built with Express.js and Supabase Auth featuring user signup, login, JWT authentication, protected routes, logout, and Swagger documentation. [ WEEK - 04 ]
"Complete record of my 10-week FlyRank General AI Fluency internship — portfolio, capstone, retrospective, demo."
Interactive Dark Cyber showcase for Flyrank ML Engineering Internship — featuring AI Fluency modules, dynamic GitHub API docs, and MCP workflows.
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