
VendorShield AI is a real-time vendor vulnerability intelligence platform for security and compliance teams. When new CVEs are published, security teams waste 40+ hours monthly checking which vendors are affected. VendorShield solves this in 60 seconds. Users paste their tech stack — nginx, Log4j, Okta, Jenkins, OpenSSL — and the platform instantly cross-references live threat data from the National Vulnerability Database and CISA Known Exploited Vulnerabilities list, powered by Bright Data's web scraping infrastructure. It returns a professional CISO-level brief with per-vendor risk cards, real CVE IDs, CVSS severity scores, active exploit status, and specific patch guidance. Reports export to JSON, CSV, Markdown, and Jira tickets for seamless team integration. With 29,000+ CVEs published in 2024 and an average breach cost of $4.88 million, Vendor Shield replaces expensive manual processes, AI-powered security intelligence layer any team can deploy instantly.
31 May 2026

Smart PR Review Assistant is a developer productivity tool built entirely using IBM Bob IDE during the IBM Bob Hackathon. PROBLEM: Every day, developers waste 2-3 hours in manual pull request reviews catching basic issues like missing docstrings and absent test files. Senior developers spend valuable time on repetitive checks instead of focusing on architecture and logic. SOLUTION: Smart PR Review Assistant automates these checks instantly. A developer enters their project folder path, clicks "Analyze with Bob", and within seconds gets a complete report showing: - Which functions are missing documentation (docstrings) - Which files have no corresponding test files - A summary of total files analyzed and issues found HOW IBM BOB WAS USED: IBM Bob was the core development partner throughout this entire project. Bob generated all project files including analyzer.py, server.py, index.html, and README.md. Bob analyzed the repository structure, wrote the Python AST parsing logic, created the Flask REST API, designed the dark-themed web UI, and documented the entire codebase. Without Bob, this project would have taken days instead of hours. TECHNICAL STACK: - Backend: Python + Flask - Frontend: HTML + CSS + Vanilla JavaScript - AI Partner: IBM Bob IDE - Deployment: GitHub Pages + Ngrok IMPACT: This tool helps developers at any skill level deliver higher quality pull requests, reduces review cycles, and saves team time on repetitive quality checks.
17 May 2026

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