Projects
Showcase posts from members, newest first. Filter by the stack they built it with.
Shipped: A tool for a problem you have
Study Tracker – Personal Study Management App · Study Tracker is a full stack web application designed to solve my personal study management problems and help me become more consistent and productive in my learning journey.
Shipped: A tool for a problem you have
Vision Star – A Personal Life Management Application · 1. The Problem I Wanted to Solve
Shipped: Three decisions, written down
Repository: https://github.com/TechnicalSamia18/radar frontend/blob/main/DECISION RECORD.md · Built for the Verified Frontend Internship · Documentation
Shipped: Radar - real internships and jobs from Pakistani software houses, scored against my resume
I built Radar, a web app for CS students in Pakistan. Every morning a free GitHub Actions job checks 43 Pakistani software houses: it reads real openings from their public job feeds and flags careers pages that changed. The site scores each opening against your resume (read in the browser, never uploaded), explains the fit and eligibility catches, and tracks applications. Openings found elsewhere can be pasted in. · How to check the criteria:
Shipped: A guide for the next contributor
Documentation Requirements – Contributor Guide · 1. A CONTRIBUTING.md file has been added to the repository.
Shipped: Personal reading list
I built a personal reading list where you can add books (title, optional author) and remove them. It’s saved in the browser’s localStorage, so it persists across reloads and restarts, and it needs no account or server for the reviewer to use. The store is wrapped in an async API, so the app handles waiting and failure as it would with a network backend. · How to check each criterion: open the “For reviewers: see each state” panel at the bottom of the page. Each link reloads with a setting in the address, so no code changes are needed. The README lists them too.
Shipped: The data model, explained
Repository: https://github.com/garima 2006/ticket sales api · Built for the Verified Backend Internship · Documentation
Shipped: A service with a job running behind it
Repository: https://github.com/garima 2006/background digest service · Live: https://background digest service.onrender.com
RAG
For a while now, I've been experimenting with Retrieval Augmented Generation (RAG), exploring how to make LLMs answer questions using information retrieved from actual documents. · Today's experiment with Raggy took me through another complete RAG pipeline.
Shipped: A README a reviewer can follow
I built a full stack Habit Tracker application using Node.js, Express, and SQLite for the backend, paired with a clean HTML/JS frontend. A reviewer can easily check that all criteria are met directly in the repository's README, where I've provided simple, step by step local setup instructions to get everything running and test an endpoint within twenty minutes. The documentation also clearly lists all environment variables with their sources and fallback values, details every API endpoint along with its input, output, and full status code coverage including errors and idempotency handling, and wraps up with a transparent section detailing the project's limits and what it does not do. · Repository: https://github.com/oliviamol/Habittracker/blob/main/habit tracker README.md
Shipped: A service somebody else could run
I built a secure backend Habit Tracker API using Node.js, Express, and native SQLite. · How to verify the acceptance criteria:
Shipped: Ticket sales
I built a ticket reservation backend using Node.js, Express, and SQLite. · Reviewers can verify that all acceptance criteria are met directly in the repository files and README.md:
Shipped: The data model, explained
Repository: https://github.com/Ramsha Anwar/context query ai/blob/master/DATA MODEL.md · Built for the Verified Backend Internship · Documentation
Shipped: A service somebody else could run
ContextQuery AI · Live API: https://contextquery api.onrender.com/docs
Shipped: Bookmark service
I built a Bookmark Service REST API using Node.js and Express. · Features and Acceptance Criteria met:
Shipped: Library loans
What did you build, and how can a reviewer see that the acceptance criteria are met? · I built a Library Loans API using Node.js, TypeScript, Express.js, and PostgreSQL. It manages library books, physical book copies, members, and loan records.
Shipped: Short link service
Built a Short Link REST API using Python, FastAPI, SQLite, Pydantic, and Pytest. · Implemented features:
Shipped: Personal reading list
1. What did I build? · I built a Personal Reading List web application using Next.js, React, TypeScript, and Tailwind CSS as part of DevConnect Internship Brief C.
Shipped: Short link service
What I built: · I built a short link service in Node.js. You send it a long URL and it gives back a short code. When someone opens the short code, it sends them to the original URL and counts that visit. It has three endpoints:
Shipped: Ticket sales
Built a Ticket Sales API — my internship project · I just wrapped up a backend project that simulates real ticket reservation: events, seats, and the race condition problem that shows up the moment two people try to buy the same seat at the same time.