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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

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.

Recruiters deal with hundreds of unstructured resumes in PDF and Word formats. Extracting consistent, comparable data requires expensive cloud AI APIs or tedious manual effort. This project proves that a local, quantized small language model (SLM) running on a commodity CPU can do the same job — privately, cheaply, and completely offline.

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.

DriverOS is an AI-powered driver assistance and safety platform designed for commercial drivers, truck drivers, delivery partners, and fleet operators across India. The platform focuses on driver safety, health monitoring, emergency response, trip management, document storage, and real-time support services.

NyayaBloom is an AI-powered Judicial Intelligence Platform designed to democratize legal knowledge and improve judicial transparency across India. The platform enables citizens, lawyers, law students, researchers, journalists, and judicial professionals to access legal information, understand judicial processes, explore case precedents, and improve legal literacy through a multilingual AI-powered ecosystem. Instead of replacing judges, courts, or legal professionals, NyayaBloom serves as an intelligent legal knowledge assistant that simplifies legal information and promotes informed civic participation.

A web-based Team Portfolio platform that showcases team members, their skills, roles, projects, achievements, and contact information in a modern, responsive, and user-friendly interface. The platform helps teams present their work, improve visibility, and maintain a centralized professional portfolio.

AgriDoc is a CPU-first, offline-first web app that helps India's farmers digitize and manage their critical agricultural documents — Pattadar Passbooks, Adangal records, PM-KISAN certificates, Rythu Bandhu slips, and more.

MediBridge — A Flask app that lets patients generate a privacy-controlled, time-limited QR code so anyone can scan it in an emergency and instantly see only the health info the patient chose to share.

ZenShe – Women's Safety & Emergency Assistance Platform*

ZenShe is a women-centric safety application designed to provide quick access to emergency assistance during critical situations. The platform enables users to register trusted emergency contacts, share their live location, and trigger SOS alerts when they feel unsafe.

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

Khetika — A multilingual AI-powered farming assistant that helps Indian farmers diagnose crop diseases, plan weekly tasks, and get instant advice in their native language.

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.

A digital assistant for government document verification and preparation

A creative Telugu dream journaling web app that allows users to write, rewrite, tag, and share dreams in poetic or story formats.