Lijesh Sathish@LIJESH20034

Sentinel AI is an enterprise-grade security platform that continuously monitors third-party vendors for real-time risk signals across the public web. In today's interconnected digital landscape, organizations depend heavily on external vendors like AWS, Stripe, Okta, and Cloudflare — and a single vendor incident can cascade into a catastrophic business disruption. Sentinel AI solves this by automating the entire vendor risk intelligence pipeline. It uses Bright Data's SERP API to search Google for security incidents, breaches, outages, compliance violations, and lawsuits across all monitored vendors every five minutes. Discovered articles are scraped using Bright Data's Web Access API for full content extraction, then analyzed by OpenAI GPT-4o-mini which performs deep risk assessment and returns structured intelligence including risk level, incident type, business impact, and recommended action. The platform features a Security Operations Center dashboard built with Next.js and Tailwind CSS, displaying real-time vendor health status, risk severity metrics, and a complete alert timeline for each vendor. Risk levels are color-coded from Healthy to Critical, with automatic status updates after every scan cycle. Built for hackathon-speed deployment, Sentinel AI runs entirely locally with a FastAPI backend, SQLite database, APScheduler for automated monitoring, and a responsive dark-themed frontend — giving security teams instant visibility into their entire vendor ecosystem without any manual effort.

CodeBase Agent is an AI-powered developer assistant that helps engineers understand, document, and test any GitHub repository in seconds. Built for the IBM Bob Hackathon, this tool solves three critical pain points developers face daily: 1. Getting Up to Speed on Existing Code Simply paste any public GitHub URL and ask natural language questions like "How does routing work?" or "Where do I add a new endpoint?" The agent retrieves relevant code and generates clear explanations using Groq's LLM. 2. Generating Documentation Select any Python file from the indexed codebase and click "Generate Documentation". The agent produces professional markdown documentation with copy and download options, saving hours of manual writing. 3. Creating Unit Tests Choose a Python file and function, and the agent automatically generates pytest unit tests covering normal cases, edge cases, and error cases. Download or copy directly into your project. Technical Stack: - IBM Bob: AI coding assistant used throughout development - Groq API: Lightning-fast LLM inference for Q&A, docs, and test generation - ChromaDB: Vector database for semantic code search - Streamlit: Interactive web interface - GitHub API: Fetches any public repository Key Features: - Load any public GitHub repository - Natural language Q&A about codebase - One-click documentation generation - Automatic unit test creation - Copy & download functionality - Professional tabbed interface This tool saves developers 2-3 hours per day by eliminating repetitive documentation and testing tasks. It's especially valuable for open-source contributors who need to understand new codebases quickly. Built entirely with IBM Bob as the primary coding partner, demonstrating how AI assistants can accelerate software development from idea to working solution in under 48 hours.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.