Imam Al Gifari@AGF_Tech

In Indonesian and Sanskrit cultures, Mandala symbolizes an energy center, an integrated structure, and a map of the cosmos. In the context of this application, Mandala represents a central command hub that brings together the entire complexity of the ROCm, Triton kernel, and LLM ecosystems into one harmonious interface. mandala is a dashboard application that functions to develop, train, and engineer LLM/AI models with ROCm and its stack, up to the kernel level; like triton, with a GUI-based low code interface, and help migration from CUDA based workflow without having to struggle with cli manual coding that takes a lot of time to remember every line of code, especially for beginners.

Calisk-OCR: High-Performance Vision-Language OCR Pipeline for AMD ROCM Calisk-OCR is a production-grade, hardware-aware Optical Character Recognition (OCR) pipeline designed for the AMD x Lablab.ai AI Challenge (Mini-Challenge 2).Engineered to operate under adverse real-world conditions—such as severe glare, motion blur, low lighting, and angled perspectives—Calisk-OCR extracts precise text from complex roadway imagery, license plates, and traffic signs. Core Architecture & Key Features Vision-Language Model Engine:Powered by Meta's `Llama-3.2-11B-Vision-Instruct` and served via the `vLLM' inference engine, optimized specifically for AMD ROCm GPU acceleration. Multi-Pass Resiliency: Integrates an OpenCV CLAHE (Contrast Limited Adaptive Histogram Equalization) preprocessing layer to sharpen degraded inputs, backed by a secondary EasyOCR fallback pass to guarantee execution reliability. Strict Memory & VRAM Management:Enforces explicit GPU memory bounds (`gpu_memory_utilization=0.65`) and eager execution modes, maintaining peak VRAM usage safely below the 48 GiB limit without memory leaks or OOM crashes. Automated Standardization: Features automated text normalization (UPPERCASE conversion, noise reduction, and banner stripping) combined with a dynamic confidence scoring algorithm. Containerized Deployment: Fully Dockerized using AMD's official ROCm PyTorch base image (`rocm/pytorch:rocm10.0_ubuntu26.04_py3.14_pytorch_release_2.13.0`), delivering a self-contained CLI interface that accepts PNG, JPEG, and TIFF formats while outputting structured, evaluation-ready JSON artifacts. Arsa-RAG: AMD-powered multimodal RAG project is a multimodal retrieval-augmented generation (RAG) project built for AMD MI300X/ROCm environments. It indexes a local corpus, retrieves relevant information, and answers user questions with citations and confidence scores for GPU-accelerated, document-based Q&A workflows.

A.N.O.A : Anonymous Agentic Intelligent dashboard A.N.O.A is a hybrid Flutter and FastAPI application designed as a Purple Team security dashboard and AI assistant. The frontend is built with Flutter and presents a modern security dashboard with threat charts, a RAG knowledge builder, YAML rule generation, and an AI chat assistant. The backend is implemented with FastAPI and connects to Google Gemini AI for analysis, while also simulating a “Lobster Trap” DPI engine to filter dangerous prompt injection patterns before they reach the AI. The application currently supports multiple security modes such as Red Team analysis, Blue Team defense, phishing detection, log auditing, and credential detection. It also includes real-time-style threat logging and backend health endpoints to support dashboard status updates. Settings and theme controls allow users to customize the application experience. This project is ideal for showcasing AI-driven security workflows, rapid prototyping of Purple Team tooling, and building a visual interface for defensive and offensive cybersecurity analysis.

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🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.

🌎 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.

💻 Online Hackathon | ⏳ Build: 48 hours | 📅 September 25–27, 2026 The official IBM Bob 2.0 hackathon. Build what's next in AI-assisted development, alongside the developers and experts shaping it. ⭐ Get help from experts throughout the event 🤝 Join a team or build solo 💰 Prize pool: $12,000 🧑🏻‍💻 Register before the Kick-Off Stream to start building with Bob

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