Azizul Hasan@azizulbuilds

Events attended

Submissions made

India

1 year of experience

About me

Tech enthusiast passionate about exploring the intersection of AI/ML and software development. Currently diving deep into Artificial Intelligence and Machine Learning, experimenting with models and algorithms that solve real-world problems. I build full-stack applications using the MERN stack, creating scalable and user-friendly web solutions. Problem-solving drives me, which is why I regularly practice Data Structures and Algorithms in C++ to sharpen my computational thinking and optimize code efficiency. Always learning, always building, and always looking for opportunities to work on innovative projects that push technological boundaries.

Socials

🤓 Latest Submissions

FactoryPulse AI–Intelligent Industrial Maintenance

FactoryPulse AI is an industrial intelligence platform designed to help manufacturing teams understand machine conditions, identify potential problems, and make more informed maintenance decisions. The platform brings machine fleet monitoring, machine-health indicators, alert management, anomaly-detection capabilities, and an AI-powered Maintenance Copilot into a unified dashboard. Users can review machine health, inspect prioritized alerts, and ask natural-language questions about equipment maintenance. The Maintenance Copilot uses a retrieval-augmented generation (RAG) workflow to retrieve relevant information from the project's maintenance knowledge base and provide contextual troubleshooting guidance. The platform also integrates the AMD Developer Hackathon's Token Factory API using the DeepSeek-V4-Flash model to generate AI-assisted responses. The backend is built with FastAPI, while the frontend uses React and Vite. The application exposes API endpoints for health checks, predictions, monitoring, fleet information, alerts, and maintenance assistance. FactoryPulse AI aims to make industrial maintenance information more accessible, help teams investigate unusual readings, and support faster, better-informed maintenance workflows. Its current dashboard includes illustrative machine data for demonstration; production deployment would require validated industrial sensor integrations, equipment-specific thresholds, and operational testing.

Hackathon link

18 Oct 2026

👉 Upcoming Hackathons

AMD AI League

Six Matches. One leaderboard. Build on AMD, earn points and compete for prizes.

2026 Sep 1

👌 Attended Hackathons

AMD Developer Hackathon: ACT III

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 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.