Built & published Save Image 'n Context — a Manifest V3 Chrome extension for researchers: right-click any web image to download it and log a local citation record of its source (page URL/title, canonical URL, Open Graph metadata, alt text, figure caption, plus the nearest heading/paragraph/link via deterministic DOM heuristics)
- privacy-first architecture: a service worker paired with an on-demand content script using
activeTab+scriptingpermissions — zero background access to browsing data - handles real-world messiness: lazy-loaded image attributes, duplicate-capture detection, retry logic, graceful fallbacks on restricted pages
- up to 5,000 records live entirely in
chrome.storage.local, reviewable on an options page & exportable as JSON/CSV (CSV hardened against spreadsheet formula injection)
get it on the Chrome Web Store ➡️ https://chromewebstore.google.com/detail/save-image-n-context/ikfnmdlkdmmjfoinfgmkccloejgmhmil
source code ➡️ https://github.com/nina-mir/save-image-n-context
Built the Snarp Profanity Index — an interactive dashboard visualizing the frequency of various categories of profanities across 52 college-sports YouTube videos by a popular creator, to find out which collegiate rivalries are the most controversial linguistically 😄
- the workflow: scraping audio via the YouTube API ➜ transcribing with the Whisper neural network on HuggingFace ➜ analyzing the transcripts to categorize terms
- interactive charts made with svg & d3.js + full-text search across all transcripts
- tech stack: Google Colab, YouTube API, Whisper, Claude AI, GitHub Pages
check it out ➡️ https://nina-mir.github.io/snarp-analysis/
source code ➡️ https://github.com/nina-mir/snarp-analysis
Built Kopani — MVP discovery infrastructure for independent literature: a platform that indexes literary/art pieces published by independent journals without republishing copyrighted material
- data scraping, ingestion & metadata-modeling workflows normalize journal content into structured, searchable records: titles, journals, authors, translators, visual artists, genres, keywords & reading time (Gemini AI / Colab notebook)
- the discovery experience helps readers browse real pieces, return to the original journal sources, and (in the future) explore a contributor graph linking writers, artists, institutions, journals & publications
- tech stack: Astro + TailwindCSS frontend, SQLite backend deployed on Netlify, browser localStorage for user data retention
check it out ➡️ https://kopani.netlify.app/
Built a full-stack RAG pipeline (NLP-2-GeoPandas Dataframe) to chat with Film Locations in San Francisco dataset
- tech stack: Google Gemini AI model Flash, Python, Streamlit Cloud, GeoPandas, SQLite, Folium (Leaflet) map
- The full design, specs and code are available https://github.com/nina-mir/DigitalOcean-hackathon-FILM-2025
This app was completed during a DigitalOcean/Auth0 sponsored hackathon event on Oct-18-2025 in San Francisco, CA
Built a full stack project ingesting data from WindBorne Systems' live constellation API to be used in two plots made by d3.js
- a worldmap displaying each flight trajectory in a 24-hr interval
- a Sankey chart to display the starting/ending region of each trajectory using geonames.org and nominatim.openstreetmap.org APIs
The project depends on an automated datapipeline that fetches and processes new data hourly [on an Ubuntu cloud server] and uses Cloudflare Workers to edge-cache the data files
Released Taschen-Doelmetcher.Revisited — a multilingual web-game for language learning & practice for folks who are learning Russian/English/German (React, TypeScript, TailwindCSS, Storybook). This game is heavily inspired by real events that happened from 1941-1945 in the Eastern Front in Europe, and educates users about Holocaust history through historical materials and witnesses' artworks
check the game out https://nina-mir.github.io/taschen-dolmetcher/
if you have any suggestions please open an issue here: https://github.com/nina-mir/taschen-dolmetcher or email me directly at nina@sfsu.edu