prasenjit chowdhury@Jeet025

Project Delta is an AI-powered enterprise Change & Release Management platform built to automate deployment governance workflows using intelligent AI agents and Large Language Models (LLMs). In enterprise IT environments, deployment and release processes often involve manual validation, CAB reviews, incomplete change requests, weak rollback plans, and operational risk assessment challenges. These issues can lead to failed deployments, production outages, delayed releases, and increased governance overhead. Project Delta addresses these challenges by providing an intelligent AI-assisted governance workflow for deployment and release management teams. The platform allows users to submit deployment or change requests along with target environments and rollback plans. The AI Validation Agent analyzes the request and identifies missing information, weak deployment descriptions, incomplete rollback plans, and governance gaps. The Risk Assessment Agent evaluates deployment risk based on factors such as production impact, deployment complexity, infrastructure-level changes, rollback quality, and high-risk operational keywords. Based on this analysis, the platform classifies the deployment as LOW, MEDIUM, or HIGH risk. The CAB Decision Layer then provides intelligent governance recommendations, including standard approval eligibility, release manager review, or CAB approval requirements. Additionally, the Suggestions Agent generates AI-powered recommendations to improve deployment readiness, rollback quality, and governance compliance. Project Delta was developed using Python, Streamlit, OpenAI APIs, and SQLite, with future scalability planned through AMD GPU-powered local inference, vLLM serving, and multi-agent orchestration frameworks. The goal of Project Delta is to reduce manual governance effort, improve deployment quality, minimize operational risk, and demonstrate how AI agents can transform enterprise IT operations workflows.

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.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.