C

css

A simple Budget Tracker and Expense Calculator that helps users record income and expenses, calculate balances, and monitor spending. Designed with a clean, user-friendly interface to make personal finance management easy and efficient.

Student Attendance Tracker is a small, self-hosted web app for tracking student attendance using a human-readable JSON store. Built with Vite and React and bundled with a minimal Node server for local testing, it’s easy to customize and deploy for small-classroom use.

Offline-first lecture transcription and structured study data extraction CLI/PWA.

Uncover Truth is a full-stack, AGPLv3-licensed logic puzzle web application built using a modern JavaScript monorepo architecture. The project combines a React-based frontend, a Node.js/Express backend, and shared game logic to deliver an interactive puzzle-solving experience focused on reasoning and deduction.

The system is designed with production-grade engineering practices, including automated testing, code quality enforcement, security scanning, and CI/CD compliance pipelines using GitLab.

⚙️ Key Features 🧩 Interactive logic puzzle gameplay with shared puzzle engine ⚛️ Modern frontend built with React and Vite 🖥️ Lightweight Node.js + Express backend 📦 Monorepo structure with shared utilities between client and server 🧪 Automated testing using Vitest with coverage reporting 🔍 Code quality enforcement via ESLint, Prettier, and Knip 🔐 Security scanning using Gitleaks and npm audit 📊 CI/CD pipeline with compliance checks (GitLab-ready) 📄 Open-source governance: LICENSE, CONTRIBUTING, SECURITY, CODE_OF_CONDUCT 🏗️ Architecture client/ → React frontend (Vite) server/ → Express backend API shared/ → Shared puzzle logic used by both client and server test/ → Unit and integration tests CI/CD → GitLab pipeline with lint, security, test, and compliance stages 🚀 Purpose

This project is designed to demonstrate real-world full-stack engineering practices, focusing on:

Clean architecture in monorepos Secure and compliant development workflows Automated testing and coverage enforcement Production-ready CI/CD pipelines Open-source governance standards

Lifeline AI is an AI-powered emergency response platform providing real-time emergency intelligence, ambulance coordination, hospital connectivity, SOS management, and disaster response monitoring.

Project Overview: The CPU-First EMS is a highly resilient web platform designed specifically for distributed teams and field workers operating in environments with unreliable internet access.

Key Technical Achievements:

Offline-First Reliability: Implemented robust client-side storage to queue submissions and track attendance locally, ensuring zero data loss during outages and enabling automatic synchronization when reconnected.

Architectural Overhaul: Successfully migrated the application from a local Streamlit script to a scalable, production-ready REST API using Flask and Gunicorn with multi-threaded workers.

Modern User Experience: Built a responsive, dynamic frontend using Vanilla JavaScript and the Fetch API, styled with a modern glassmorphism aesthetic.

Production-Ready Deployment: Engineered a secure, multi-stage, non-root Docker build to streamline deployment and ensure consistent environments across local and production servers.

Memento AI – A CPU-first, offline AI assistant that transforms documents, images, audio, video, and text into structured knowledge using local LLMs, SQLite, and Retrieval-Augmented Generation (RAG), with

LedgerLens Drop in a photo or PDF of a receipt/invoice and get clean, structured ledger data — merchant, date, tax/GST, line items, and total — as JSON, exportable to CSV. Runs entirely on CPU and works with the network switched off.

book waste management system

PulseLink is a blood donor matching platform that connects patients with nearby compatible donors during emergencies. Built using React, FastAPI, and MySQL.

CineRAG is a Retrieval-Augmented Generation (RAG) application designed to answer cinema-related queries. The platform currently focuses on the Telugu film industry, providing responses based on information stored in a local knowledge repository.

🌟 VakyaVibe.ai – Indian Language Corpus Collection Platform VakyaVibe.ai is an open-source, community-powered web application designed to preserve and celebrate India's rich linguistic and cultural heritage. It serves as a multilingual Corpus Collection Engine, enabling users to contribute and explore proverbs, slang words, and tongue twisters across 10+ Indian languages and dialects.

🚀 Features 🌐 Multilingual Support – Hindi, Telugu, Tamil, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, and more

🤖 AI-Powered Intelligence – Mistral AI (primary), OpenAI (fallback), Ollama (local)

🗳️ Community Contributions – Submit, vote, and categorize cultural expressions

📊 Admin Dashboard – User stats, language analytics, CSV/JSON export

🤗 Hugging Face Integration – Dataset sync, backup, and model-ready formats

📱 Modern UX – Mobile-friendly, offline-first, PWA, dark/light modes

🔐 Data Governance – Validation, version control, and privacy safeguards