Projects

Project by Anand: System Trace (category: others, completed Aug 2026). An open-source, privacy-first screen-time and app-usage tracker for Windows, macOS, and Linux. It records which apps and windows you use and for how long, smartly detects idle time (it knows when calls, music, or video are active), and turns it into clear dashboards, hourly timelines, and reports — all stored locally and encrypted (XChaCha20-Poly1305), with no accounts, cloud, or telemetry. Includes per-app daily limits with configurable enforcement, a focus mode that blocks distracting apps and sites, wellbeing features (break reminders, quiet hours, goals), PDF/CSV/JSON export, and a companion browser extension. Built with Rust and Tauri 2. Technologies used: Rust, Tauri, React, TypeScript, SQLite, Tailwind CSS. Live demo: https://apps.microsoft.com/detail/9N3QDXS4GXNL. Source code: https://github.com/anandsundaramoorthysa/system-trace.

Project by Anand: HuddleUp (category: others, completed Jun 2026). An open-source CLI tool and VS Code extension — "Git stash for your AI coding sessions." It snapshots the full state of an AI-assisted coding session (git diffs, open files, recent AI messages, and a summary) into plain markdown committed to git, so a teammate can resume the exact context in any AI tool — Claude Code, Cursor, GitHub Copilot, Codex, or Windsurf — instead of restarting from scratch or trusting unreliable AI memory. Includes snapshot, resume, and standup commands, auto-generated per-tool config files, and a Token Exhaustion Protocol that auto-snapshots before an AI hits its token limit. Distributed as an npm package (huddleup) and published on the VS Code Marketplace. Technologies used: TypeScript, Node.js, VS Code Extension API, Vitest, Astro, Git. Live demo: https://huddleup-site.pages.dev. Source code: https://github.com/anandsundaramoorthysa/huddleup.

Project by Anand: Auto-Dock It (category: others, completed Jun 2026). An open-source agentic AI tool that writes, builds, and self-heals Dockerfiles for any public GitHub repository. A five-stage pipeline (Ingest → Analyze → Generate → Build → Validate) produces a production-grade Dockerfile, then feeds build and runtime errors back to an LLM to patch and retry until the container responds healthy. Supports Docker Compose for multi-service apps, bring-your-own-key free-tier LLMs (Gemini/Groq), a full audit trail, and both a CLI and a live-streaming web UI. Built with Melvin Joshua. Technologies used: Python, Streamlit, Docker, Docker Compose, Gemini API, Groq API, Pydantic, Next.js, TypeScript, Tailwind CSS. Live demo: https://autodockit.streamlit.app. Source code: https://github.com/MelvinJoshua1375/auto-dock-it.

Project by Anand: Markdown to PDF & Word (category: others, completed May 2026). A VS Code extension that converts Markdown files into polished PDF, Word (.docx), and HTML documents directly inside VS Code — featuring a visual customization studio (no CSS needed), a rule-based AI-clutter cleanup engine, cover page builder, headers/footers, page numbers, table of contents, and reusable git-shareable document profiles. No Pandoc dependency, works fully offline. Technologies used: TypeScript, VS Code Extension API, markdown-it, Puppeteer, html-to-docx, Webview. Live demo: https://marketplace.visualstudio.com/items?itemName=AnandSundaramoorthySa.markdown-to-pdf-word. Source code: https://github.com/anandsundaramoorthysa/markdown-to-pdf-word.

Project by Anand: Botinigo — Loyola College Admission Chatbot (category: web development, completed May 2026). A live RAG-powered admission chatbot for Loyola College, Chennai. Admission PDFs are chunked into embeddings stored in a vector database. User queries are embedded and matched via Approximate Nearest Neighbor search, then Gemini/Groq API generates accurate answers on programs, fees, eligibility, and deadlines — 24/7. Technologies used: RAG, Vector Database, Gemini API, Groq API, Next.js, TypeScript. Live demo: https://botinigo.com.

Project by Anand: CLV Predictor using Machine Learning (category: machine learning, completed Feb 2026). A machine learning web application that predicts Customer Lifetime Value (CLV) using customer demographics, purchase history, and behavioral patterns from retail transaction data. Technologies used: Flask, LightGBM, Random Forest, Gradient Boosting, Linear Regression. Live demo: https://huggingface.co/spaces/anandsundaramoorthysa/CLV-Prediction. Source code: https://github.com/anandsundaramoorthysa/CLV-Predictor-using-ML/.

Project by Anand: Tamil Lyrics Analysis (category: machine learning, completed Feb 2026). Built a Big Data NLP system that analyzes 75 years of Tamil movie song lyrics (1950–2025) using PySpark for distributed processing and scikit-learn for multi-class era prediction. Technologies used: PySpark, NLP, Scikit-learn, TF-IDF, Flask, Docker. Live demo: https://huggingface.co/spaces/anandsundaramoorthysa/tamil-lyrics-analysis. Source code: https://github.com/anandsundaramoorthysa/Tamil-Lyrics-Prediction-PySpark-ML/.

Project by Anand: Gold Price & USD Exchange Rate Prediction (category: machine learning, completed Feb 2026). A machine learning project that forecasts the monthly gold price per gram in USD using historical gold data and macroeconomic indicators such as CPI, Federal Funds Rate, and Treasury yields. Technologies used: Flask, Machine Learning, Random Forest, XGBoost, Docker. Live demo: https://huggingface.co/spaces/anandsundaramoorthysa/gold-price-prediction. Source code: https://github.com/anandsundaramoorthysa/gold-and-currency-conversion-rate-prediction-using-ml/.

Project by Anand: Anand Kavithai (category: web development, completed Feb 2026). A personal space for my work in Tamil and English, gathered in one place. Technologies used: Next.js, TypeScript, Tailwind CSS. Live demo: https://poem.anandsundaramoorthy.com.

Project by Anand: Future Free (category: web development, completed Feb 2026). A free financial independence planning tool built to bring clarity to early retirement and financial freedom. Technologies used: Next.js, TypeScript, Tailwind CSS. Live demo: https://www.futurefree.money.

Project by Anand: Temperature Prediction using VIIRS Night Light data (category: machine learning, completed Jan 2026). A machine learning based web application to predict the monthly average temperature of Chennai using VIIRS nighttime light intensity. Technologies used: Flask, Machine Learning, Random Forest, Gradient Boosting, Docker. Live demo: https://huggingface.co/spaces/anandsundaramoorthysa/ML-Temperature-Prediction-using-VIIRS-Night-Light-data/. Source code: https://github.com/anandsundaramoorthysa/ML-Temperature-Prediction-using-VIIRS-Night-Light-data/.

Project by Anand: ChessToGif (category: web development, completed Nov 2025). A web-based tool that converts chess moves into animated GIFs. Technologies used: Next.js, TypeScript, Tailwind CSS, chess.js, gifenc. Live demo: https://chesstogif.anandsundaramoorthy.com/. Source code: https://github.com/anandsundaramoorthysa/ChessToGif.

Project by Anand: Anand Poetfolio (category: web development, completed Aug 2025). A book-selling platform with selling book, secure payment integration, admin dashboard, coupon management, and customer analytics. Technologies used: Next.js, TypeScript, Tailwind CSS. Live demo: https://poetfolio.anandsundaramoorthy.com/.

Project by Anand: TamilKavi (category: others, completed Apr 2025). TamilKavi is a Python package & Dataset for Tamil poetry. Technologies used: Python. Live demo: https://pypi.org/project/tamilkavi. Source code: https://github.com/anandsundaramoorthysa/tamilkavi.

Project by Anand: TamilKavi Website (category: web development, completed Apr 2025). Website for TamilKavi — digitally describing and helping contribute to the project. Technologies used: Next.js, TypeScript, Tailwind CSS, Lucide React. Live demo: https://tamilkavi.anandsundaramoorthy.com. Source code: https://github.com/anandsundaramoorthysa/TamilKaviWebsite.

Project by Anand: Anand Portfolio (category: web development, completed Apr 2025). A personal portfolio website showcasing my skills, projects, and blog posts. Technologies used: React, TypeScript, Tailwind CSS, ShadCN/UI, Framer Motion. Live demo: https://www.anandsundaramoorthy.com/.

Project by Anand: Loyola Admission 2K25 (category: web development, completed Mar 2025). Admission form for Loyola College of Arts & Science, Mettala. Technologies used: React.js, Express.js, Node.js, PostgreSQL. Source code: https://github.com/anandsundaramoorthysa/Loyola-Admission-2K25.

Project by Anand: Goldayan (category: web development, completed Mar 2025). Portfolio and blog website for Gold Ayyanar with custom CSS creatively representing 'Gold'. Technologies used: Org Mode, Emacs Lisp, CSS. Live demo: https://anandsundaramoorthysa.github.io/. Source code: https://github.com/anandsundaramoorthysa/anandsundaramoorthysa.github.io.

Project by Anand: Fraud Detection (category: web development, completed Mar 2025). Detects fraud using IP/email verification via IPQualityScore API with detailed reporting. Technologies used: React, TypeScript, Express.js, Node.js, IPQualityScore API. Source code: https://github.com/anandsundaramoorthysa/Fraud-Detection.

Project by Anand: Final Year Project Ideas (category: others, completed Mar 2025). A curated collection of final year project ideas from the community. Technologies used: Markdown. Source code: https://github.com/anandsundaramoorthysa/FinalYear-Project-Ideas.

Project by Anand: LOYONOVATE 2K25 Symposium (category: web development, completed Dec 2024). Web page for the Department of Computer Science Symposium 2K25 at Loyola College of Arts & Science. Technologies used: HTML, CSS. Live demo: https://loyonovate-2k25-symposium-2k25.vercel.app/. Source code: https://github.com/anandsundaramoorthysa/LOYONOVATE-2K25-Symposium-2K25-.

Project by Anand: Stock Price Alert Telegram Bot (category: others, completed Nov 2024). A Telegram bot that sends real-time stock price alerts. Technologies used: Python, Telegram Bot. Source code: https://github.com/anandsundaramoorthysa/Stock-Price-Alert-Telegram-Bot.

Project by Anand: CGPA Calculator (category: web development, completed Nov 2024). A web application to calculate GPA and CGPA with ease. Technologies used: Python, Streamlit. Live demo: https://sa-cgpa-calculator.streamlit.app/. Source code: https://github.com/anandsundaramoorthysa/CGPA-Calculator.

Project by Anand: Internet Speed Finder (category: web development, completed Oct 2024). A simple Flask-based web tool to test your internet speed. Technologies used: Python, Flask, Speedtest. Live demo: https://sa-internet-speed-finder-using-flask.vercel.app/. Source code: https://github.com/anandsundaramoorthysa/Internet-Speed-Finder.

Project by Anand: Hostel Attendance App (LOHOS) (category: app development, completed Sep 2024). Flutter app to manage student attendance and data at hostels. Technologies used: Flutter, Firebase. Source code: https://github.com/anandsundaramoorthysa/Hostel-Attendance.

Project by Anand: Symposium 2K24 (category: web development, completed May 2024). Web page for the Department of Computer Science Symposium 2K24 at Loyola College of Arts & Science. Technologies used: HTML, CSS. Live demo: https://sa-symposium2k24.vercel.app/. Source code: https://github.com/anandsundaramoorthysa/Symposium2K24.

Project by Anand: YouTube Home Clone (category: web development, completed May 2024). A clone of the YouTube homepage using only HTML and CSS. Technologies used: HTML, CSS. Live demo: https://sa-youtubehomeclone.vercel.app/. Source code: https://github.com/anandsundaramoorthysa/youtubehomeclone.

Project by Anand: My Portfolio with Particles.js (category: web development, completed Jun 2023). Portfolio website built using Particles.js and JavaScript. Technologies used: HTML, CSS, JavaScript, Particles.js. Live demo: https://anandsundaramoorthysa.github.io/My-Portfolio/. Source code: https://github.com/anandsundaramoorthysa/My-Portfolio.

Why Anand built Future Free — the inspiration and story behind it. Future Free (futurefree.money) is Anand's free financial-independence (FIRE) planning tool, built to bring clarity to early retirement and financial freedom. The inspiration was personal: money was a complicated and limiting part of Anand's life for a long time — it closed off options and caused real frustration, and that frustration pushed him to understand finance deeply and eventually build something around it. He kept finding that most finance tools stop at simple calculations and never connect the pieces — emergency fund, debt, savings rate, investing — into one clear, ordered plan built on a person's real numbers. So he built Future Free to fix that: one structured flow, your real numbers, and a clear 24-month roadmap, with no advice, no signup, and no data collection — just clarity. It exists to turn confusion into structured action for people who feel overwhelmed by planning, investing, or early-retirement decisions. Its motto: "Find today, make your future free." Try it at https://www.futurefree.money.