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open-source

Fuel Rescue System is an on-demand emergency fuel delivery platform designed to assist vehicle owners who run out of fuel while traveling. The platform connects users, petrol pumps, and delivery personnel through a centralized system that enables quick fuel requests, efficient order management, and real-time delivery tracking.

When a user experiences a fuel shortage, they can open the application, share their current location, select the required fuel type and quantity, and submit a request. The system automatically identifies nearby petrol pumps based on the user's location and sends the request to available operators. Petrol pump staff can review the request details, including customer information, delivery address, fuel requirements, payment details, and estimated distance before accepting the order.

Once accepted, the request is assigned to an available delivery agent. Delivery personnel can view customer contact information, navigation routes, fuel quantity, payment status, and order details through a dedicated delivery dashboard. The system allows delivery agents to update order statuses such as Accepted, On The Way, Reached Location, and Delivered, ensuring complete visibility for both customers and petrol pump operators.

AI Expense Tracker is a smart personal finance management application that helps users track, categorize, and analyze their daily expenses using Artificial Intelligence. The application enables users to record transactions, monitor spending habits, and gain valuable financial insights through interactive dashboards and AI-powered analytics.

Unlike traditional expense trackers, this platform uses AI to automatically categorize expenses, identify spending patterns, generate personalized savings recommendations, and answer finance-related queries through a conversational interface. Users can upload receipts, manually enter expenses, or import transaction data for seamless expense management.

The application supports both cloud-based AI models and local AI inference solutions such as Ollama, allowing users to maintain privacy while benefiting from intelligent financial analysis. It also provides a Bring Your Own Key (BYOK) option, enabling users to connect their preferred AI providers using their own API keys.

Offline, CPU-first AI that transforms unstructured documents into structured, searchable data using local language models.

An open-source, modular public transport routing engine built with Python 3.13+. It abstracts external transit APIs behind a resilient service layer to compute efficient multi-modal routes with integrated caching and strict compliance.

ClauseGuard is an AI-powered offline legal document analyzer that detects risks, simplifies contracts, and protects user privacy.

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

Open-source crowdsourced wildfire and smoke tracking dashboard built for communities.

🎤 SpeakWise AI is an AI-powered public speaking coach built with Streamlit. It analyzes speech recordings, detects filler words, evaluates speaking pace, generates confidence scores, and provides personalized feedback using Local AI (Ollama) or BYOK support for OpenAI/Gemini.

Offline Investigation Intelligence Platform

AgriGuard AI is an AI-powered, offline crop disease detection and agricultural advisory system that uses computer vision and deep learning to identify crop diseases from images, estimate disease severity, and provide treatment and prevention recommendations. Designed for farmers and agricultural professionals, the system operates without an internet connection, ensuring reliable field deployment in remote areas while promoting sustainable and precision agriculture

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.

AI-assisted public-sector innovation planning and evidence-backed decision support platform for government teams.

EcoSort AI is an offline-first, CPU-powered web application that transforms unstructured garbage images into structured waste intelligence. Using local AI inference, it identifies waste categories, generates structured JSON reports, and stores results in SQLite for analysis and retrieval. The system works without an internet connection, making it suitable for smart cities, municipalities, campuses, and remote environment

Offline-first, CPU-first receipt and invoice OCR, local Qwen categorization, structured expense reporting, and JSON/CSV export.

Local AI: Offline Meeting Intelligence System is a CPU-optimized, offline-first application that transforms unstructured meeting audio recordings into structured and actionable data. Using Faster-Whisper for local speech transcription and Qwen2.5 GGUF via llama.cpp for information extraction, the system converts audio files into structured JSON containing meeting summaries, topics, action items, and next steps. All processing is performed entirely on the user's device without internet access or GPU acceleration, with results stored locally using SQLite and displayed through an interactive Streamlit dashboard.

AI-powered study assistant — chat with your notes or take a quiz. Runs locally with Ollama. Free, offline, no API key needed.

A full-stack, AI-powered health twin simulator with a built-in interactive knowledge base and brain games module.

AI-powered open-source repository onboarding assistant that analyzes GitHub repositories and provides onboarding guidance using Gemini and Ollama.

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.