Skip to main content

Hackathons

Connect with fellow creators, share progress, get updates, and find key resources—all in one place!

  • 21 Topics
  • 6 Replies
21 Topics
Sothan
SothanCommunity Manager
published in Hackathons
HP & NVIDIA Developer Challenge on Devpost

Kicking off April 7th, HP and NVIDIA are launching an AI hackathon where developers, researchers, and innovators can build open-source AI solutions with real-world impact. Whether you're optimizing models, enhancing workflows, or creating entirely new applications, this is your opportunity to push AI development forward in a high-performance local environment.Who Can Participate?Open to U.S. participants only Limited to 1,000 accounts on HP AI StudioWhy Use HP AI Studio?HP AI Studio is designed for local AI development, providing:Secure, containerized workspaces Pre-configured environments for quick setup Seamless integration with NVIDIA NGC libraries High-performance on-prem AI workflows—no cloud dependenciesWith HP AI Studio, you get maximum performance, security, and flexibility for your AI projects. How to JoinFor details on hackathon rules, prizes, and to sign up, click here: hpaistudio.devpost.comHead over to our Hackathon page for more info about the Devpost hackathon.

3640
Sothan
D
HP Employee
demo_masterHP Employee
posted in Hackathons
Demo: NVIDIA NGC Integration in AI Studio

This demo shows how AI Studio connects with NVIDIA's NGC Catalog, giving you quick access to hundreds of ready-to-use AI models. Instead of building models from scratch, you can simply search, download, and use pre-made models for tasks like image recognition, text analysis, and speech processing.It also explains how to add these models to your projects in just four simple steps and shows real examples of how they work. This makes creating AI applications much faster and easier, letting you focus on solving problems rather than training models.Video:  

172
D
HP Employee
D
HP Employee
demo_masterHP Employee
posted in Hackathons
Demo: Retail Use Case - FashionMNIST dataset, two CNNs in AI Studio

 This project compares two convolutional neural network architectures on the Fashion MNIST dataset:SimpleCNN: A basic CNN with 2 convolutional layers. DeeperCNN: A deeper CNN with 4 convolutional layers.The goal is to evaluate and visualize the marginal performance differences between these models using accuracy, loss, ROC curves, and probability-based visualizations. How to Run Create New AIS Project    Install dependencies: pip install -r requirements.txt3. Run the notebook: Open fashion_mnist_comparison.ipynb in Jupyter Lab and execute all cells sequentially. Resources:https://github.com/HPInc/aistudio-samples/tree/main/hackathon-sample-projects/hackathon-retail-MNIST

462
Sothan
Sothan
SothanCommunity Manager
posted in Hackathons
Recording: Devpost Office Hours - May 7, 2025

General Updates & Reminders Developers were encouraged to share 30-second project videos or screenshots in the Discord announcements channel. Use the AI Studio support tab to submit tickets and logs for technical help. Use the Send Feedback feature in AI Studio to share product improvement ideas. 🔍 Key Questions Answered Is it too late to join the hackathon? ➤ No. There's about one month left, and it's possible to submit a solid project within that time. Can I submit a localhost project? ➤ Yes, as long as the GitHub repo is public and includes setup instructions. Hosting on a live site is optional but earns bonus points. Are some industry categories prioritized? ➤ No. All industries are equal; stronger, more impactful use cases will be favored regardless of sector. Tech Stack Clarification: ➤ React, Node.js, C++, and other stacks are allowed. A React-based UI example was shared via GitHub. Troubleshooting TensorFlow/Nemo issues in AI Studio: ➤ Could be due to image or

70
Sothan
R
HP Employee
RickJHP Employee
posted in Hackathons
MLflow Model Monitoring in AI Studio

 MLflow Model Monitoring OverviewThis tutorial project implements a model monitoring and experiment tracking system using MLflow. The system enables data scientists and ML engineers to track, compare, and deploy machine learning models with full versioning and performance monitoring capabilities. FeaturesExperiment Tracking: Record and compare different model runs with detailed metrics and parameters Model Versioning: Maintain a complete history of model iterations with MLflow's Model Registry Performance Monitoring: Track key metrics like accuracy, response time, and similarity scores Parameter Logging: Automatically record all model parameters and configurations AI Studio with MLflow Benefits for ML ProjectsExperiment Organization: Structured tracking of all model iterations and experiments Reproducibility: Complete environment and parameter tracking ensures reproducible results Collaboration: Team members can easily share and compare experiments Model Lifecycle Management: Streamlin

150
R
HP Employee
D
HP Employee
demo_masterHP Employee
posted in Hackathons
AI Studio Troubleshooting Guide

AI Studio Troubleshooting Guide Getting Started Issues Issue: Unable to create an account Solution:  Check if you're using a supported email domain  Clear browser cache and cookies  Try a different browser  Ensure you have a stable internet connection  If corporate email, check with IT about firewall restrictions  Issue: Can't access dashboard after login Solution:  Verify you're using the correct login credentials  Check if your account has been properly activated  Clear browser cache and try incognito mode  Disable browser extensions that might interfere  Contact support if issue persists   Connection Problems Issue: Frequent disconnections during sessions Solution:  Check your internet connection stability  Close unused browser tabs to free up resources  Try a wired connection instead of Wi-Fi if possible  Clear browser cache and restart  Check if your VPN is causing interference  Issue: API endpoints unreachable Solution:  Verify the correct endpoint URLs in your reques

60
D
HP Employee
Sothan
SothanCommunity Manager
published in Hackathons
Recording: Devpost Office Hours - April 30, 2025

  This week’s Office Hours was hosted by Sothan Thach and supported by Christian Charles and Suresh Ramanan from HP. It provided live technical help and guidance for participants in the DevPost Hackathon, particularly those using HP AI Studio.Summary  AI Studio Compatibility & Setup AI Studio currently supports Windows 10/11 and Ubuntu 22.04 LTS only. Running on Ubuntu 24.04 or VMs (VirtualBox, WSL, etc.) may cause issues; such configurations are not officially supported. Using GitHub Sample Projects Suresh gave a full walkthrough on how to clone and load projects from GitHub into AI Studio. He highlighted the value of the vacation-recommendation sample and showed how to run notebooks inside the correct AI Studio kernel. Hardware Requirements A GPU is needed; using platforms like Google Colab is not supported. Minimum specs: ~16GB RAM, compatible NVIDIA GPU. RAM needs may vary depending on model size (e.g., 1B parameters ≈ 1GB GPU memory). Gett

130
Sothan
Sothan
SothanCommunity Manager
posted in Hackathons
Recording: Devpost Webinar/Office Hours - AI Studio 101

 AI Studio 101 (Watch the Recording)What is AI Studio? - Discover key features and capabilities to power your AI projects Getting Started on AI Studio - Follow along with our download experience, first sign-on process, and platform orientation Setting up your first project - Learn practical tips, tricks, and what to anticipate as you begin building 

360
Sothan
D
HP Employee
demo_masterHP Employee
posted in Hackathons
Demo: Manufacturing Use Case - AI Studio

This demo shows how to download code and use AI Studio to run the notebooks and scripts for predicting the Remaining Useful Life (RUL) of turbofan engines using a Recurrent Neural Network (RNN) model. The project is inspired by the work on Weibull Time-To-Event Recurrent Neural Networks (WTTE-RNN) for churn modeling, as detailed in this blog post.Start with this git repo.Watch the demo for step by step instructions on using the code in the AIS project.Most importantly, have fun!

510
D
HP Employee
R
HP Employee
RickJHP Employee
published in Hackathons
Demo: Technology Adoption Similarity System on AI Studio

 Overview This project implements an AI-powered system for marketers and IT managers to identify potential customers based on their technologynology adoption patterns. The system uses natural language processing to match user profiles with specific queries, enabling targeted marketing and product recommendations based on technology adoption behaviors.Features Natural language query interface for finding similar technology users Semantic search using sentence transformers MLflow integration for model versioning and deployment Interactive demo interface with visual gauge indicators Comprehensive technology user profile analysis Support for filtering based on adopter categories and technology preferencesAI Studio Benefits for Technology Adoption Projects Custom workspace configuration allows tailoring resources to specific technology adoption model needs Connect to multiple data stores across local and cloud networks, essential for accessing user behavior data from different sources Local

330
R
HP Employee
R
HP Employee
RickJHP Employee
published in Hackathons
Demo: Banking Use Case on AI Studio

OverviewThis project implements an AI-powered system for banking relationship managers to identify suitable customers for personalized product recommendations. The system uses natural language processing to match customer profiles with specific queries, moving beyond traditional rule-based targeting to a more nuanced approach.Features Natural language query interface for finding similar customers Semantic search using sentence transformers MLflow integration for model versioning and deployment Interactive demo interface Comprehensive customer profile analysis Support for filtering based on credit scores and other metricsAI Studio Benefits for Banking ProjectsCustom workspace configuration allows tailoring resources to specific banking model needs Connect to multiple data stores across local and cloud networks, essential for accessing sensitive banking data from different secure sources Local computation capabilities support processing large financial datasets without network vulnerabil

320
R
HP Employee
D
HP Employee
demo_masterHP Employee
posted in Hackathons
Demo: Finance Use Case, Predicting Cryptocurrency prices

This is an example of AI Studio project for predicting Crypto prices. This tool creates a "what-if" scenario showing how stock and cryptocurrency prices might behave over time. Think of it like a weather forecast, but for financial markets. Instead of using real market data, it creates realistic fictional price movements based on mathematical models.Steps to get it running in AI Studio:Copy (git clone) the code to your local machine: Open AI Studio, create New Project or add a Worksp[ace to an existing Project. Drag and drop the Notebook and requirements.txt to the Workspace Install the requirements (from AIS Terminal) Run the Notebook!git repo: https://github.com/HPInc/aistudio-samples/tree/main/hackathon-sample-projects/Stocks-cryptoStep by step Walkthrough:https://vimeo.com/1076094469?share=copy

260
D
HP Employee
R
HP Employee
RickJHP Employee
published in Hackathons
Demo: Creating a HTML based UI in HP AI Studio

This video reviews the process of creating a html based UI in HP AI Studio.This project demonstrates how to build, deploy, and interact with a machine learning model using MLflow. It provides recommendations for Netflix content based on user queries.Key features:A Python model that finds Netflix content using semantic similarity MLflow for model packaging and deployment Simple HTML interface for users to interact with the model📎Github Project Files   

530
R
HP Employee
D
HP Employee
demo_masterHP Employee
posted in Hackathons
AI Studio Account Registration Guide

Ready to dive into the HP AI Studio & NVIDIA Developer Challenge? The process is straightforward: after registering on Devpost, you'll receive an activation email from AI Studio with download links. Simply click the activation link, sign in with your HPID (or create one), download the installer for your platform, and follow the setup wizard. The first team member to sign in receives admin privileges and can invite others through the team settings.Once set up, you can create projects, define workspaces using NVIDIA NGC GPU-optimized pre-trained models, and start coding in notebooks. AI Studio brings together everything you need—data, people, and compute—in one powerful environment optimized for AI development. Be sure to check out the base images and GPU resources available to maximize your project's performance during the challenge! Have questions? Drop a comment below!Learn more about AI Studio here and see how Z by HP powers Data Science & AI Solutions.

1042
jrgosalvez
R
HP Employee
RickJHP Employee
published in Hackathons
Demo: Workspaces in HP AI Studio

This video reviews the process of creating a workspace in HP AI Studio. 

260
R
HP Employee
D
HP Employee
demo_masterHP Employee
published in Hackathons
Demo: Insurance Use Case in AI Studio

 Explore how AI Studio enables fast, visual, and data-rich insurance portfolio analysis using this ready-to-run notebook. The demo walks through generating synthetic policy data, analyzing risk exposure, and visualizing results—all in one workspace. 📎 View the project on GitHub

310
D
HP Employee
D
HP Employee
demo_masterHP Employee
posted in Hackathons
Starter Projects - DeepSeek JANUS Text to Model Project

You can find the code for the project and README in this public repository: https://github.com/HPInc/aistudio-samples/tree/main/deep-learning-in-ais/image_generation_deepseek_janus_pro

430
D
HP Employee
D
HP Employee
demo_masterHP Employee
posted in Hackathons
AI Studio Platform Overview (Video)

 AI Studio Platform Walkthrough: From Project Creation to Model Deployment This video covers essential features of AI Studio:Project Creation: Learn how to set up new projects with customized descriptions, tags, and privacy settings. We'll show you how to seamlessly connect to GitHub repositories for efficient code management.Asset Management: Discover how to upload, organize, and leverage different assets within your projects, making data management intuitive and efficient.NVIDIA NGC Model Integration: Explore the NGC catalog and see how easily you can search for and incorporate NVIDIA's GPU-optimized pre-trained models into your workflow, accelerating your development process.Workspace Configuration: Master the creation of custom workspaces tailored to your project's computational needs, ensuring you have the right resources for your specific tasks.Notebook Development: Experience the powerful coding environment with Jupyter notebooks, complete with pre-configured dependencies and se

670
D
HP Employee
R
HP Employee
RickJHP Employee
posted in Hackathons
AI Studio Compatibility

AI Studio is a secure, containerized development environment that enables easy team collaboration.  This document outlines the requirements for the AI Studio platform.   

340
R
HP Employee
R
HP Employee
RickJHP Employee
posted in Hackathons
AI Studio Workspace Setup

AI Studio workspaces streamline the entire AI/ML development lifecycle, from initial experimentation to final deployment:• Quickly spin up an environment with the necessary libraries• Collaborate effortlessly with team members, sharing notebooks and resources in real time• Utilize the containerized environment to develop locally and maintain control of sensitive dataThis document walks through the process of creating AI Studio Workspaces.

620
R
HP Employee
D
HP Employee
demo_masterHP Employee
posted in Hackathons
AI Studio Installation Guide

The Installation Guide covers:What AI Studio is and the basic installation process for both Windows and Ubuntu The system requirements needed before starting the installation What to expect after installation and how to get startedHave questions? Drop a comment below!Learn more about AI Studio here and see how Z by HP powers Data Science & AI Solutions.

870
D
HP Employee
Terms & ConditionsCookie settings