
FailSim AI is a multi-robot failure analysis platform that helps robotics companies discover why their robots fail before building physical prototypes. Instead of weeks of manual testing, teams can run 1000+ physics-based simulations overnight using PyBullet with real robot specifications (Kuka iiwa7, Franka Panda, UR5, or custom robots). Our platform uses Gemini 3 Flash AI to automatically analyze failure clusters and explain the physical mechanisms causing failures. The system provides interactive features including experiment configuration, real-time 5-frame simulation visualization, failure distribution charts, and click-to-analyze AI insights for individual runs. Built on Vultr infrastructure with a React dashboard, FastAPI backend, and deployed 24/7 at http://80.240.20.49. FailSim AI reduces testing time by 10x, cuts costs by 90%, and enables teams to fix issues in simulation rather than expensive hardware iterations. Perfect for robotics startups, QA teams, and research labs validating designs before real-world deployment.
15 Feb 2026

Auto InvoiceAI is an autonomous, AI-powered on-chain commerce application designed to simplify invoice management and payments. It leverages Arc, USDC, and Circle infrastructure to enable real-time, secure, and automated financial transactions. Using an AI agent, the system can parse invoices, suggest payment actions, and execute transactions seamlessly, all in a decentralized and trust-minimized environment. The project demonstrates the next generation of agentic commerce, combining smart contract-based payment flows with intuitive user interaction and a visually engaging frontend. It is ideal for real-world applications in freelance platforms, service marketplaces, or automated business payments.
24 Jan 2026

This project is a full-stack Arc Token Sender Application developed using React.js for the frontend and Node.js with Express for the backend. It allows users to send Arc testnet tokens seamlessly through a simple and user-friendly interface. The backend utilizes ethers.js to connect with the Arc blockchain, securely managing transactions using environment-protected private keys. The frontend provides input validation for recipient addresses and token amounts, while the backend handles transaction processing and returns the transaction hash upon success. With CORS integration, real-time communication between the client and server is enabled smoothly. This project serves as a practical demonstration of blockchain integration in modern web applications, emphasizing security, functionality, and user experience.
8 Nov 2025

AI powered voice-to-code generator is an AI based tool that generates codes as a reaction of prompt. It can generates codes in multiple languages. User can generate codes in every programming language(Python, C++, html...) which he wants. Not on this, AI powered voice-to-code generator can explained code thoroughly line by using comments. Moreover, AI Powered voice-to- code generator tool accept multiple prompt languages which user want to use, and at the same time this tool shows the given prompt in subtitle below, that can helps the user to check whether he/she gives precise prompt or he/she make any mistake in it. In short, AI powered voice-to-code generator is an revolutionary tool for code generation with no error.
24 Aug 2025

TravelBuddyAI is a smart travel assistant web application designed to help users plan their air travel quickly, efficiently, and affordably. The main goal of this project is to simplify the flight search process and assist users with relevant travel-related information using the power of artificial intelligence and user-friendly web technologies. This application allows users to input natural language queries like “What’s the cheapest flight from Lahore to Dubai?”, and it responds intelligently with helpful, personalized information such as flight options, estimated prices, and travel advice. The project aims to provide users with a smooth and engaging experience for finding the best travel routes, flight timings, and pricing, all from one simple interface. At the heart of TravelBuddyAI lies a question-answer-based system that responds to user queries using a Flask-powered backend. It interprets the user’s input and provides relevant travel recommendations. For example, users can ask about economy vs business class prices, the best time to book a flight, or compare airlines for a particular route. The frontend is developed using basic HTML, CSS, and JavaScript, ensuring a responsive and user-friendly interface. The user can type in their query in a text box and click on the “Ask” button. The application then communicates with the backend via an API and displays a response within seconds. Frontend: HTML5, CSS3, JavaScript Backend: Python with Flask API Communication: RESTful API using fetch (POST method) Cross-Origin Support: Flask-CORS to handle frontend-backend communication Templates: Jinja2 rendering for Flask
8 Jul 2025