Get ready to revolutionize the world of on-device AI at the Windows on Snapdragon AI Hackathon!

Qualcomm® AI Hub is a developer-centric platform designed to streamline on-device AI development and deployment. It offers developers an accessible way to optimize, validate, and deploy AI models on Qualcomm and Snapdragon platforms. This means faster, more efficient, and more private AI experiences for everyone.

 

Why You Should Join

Unleash the Power of On-Device AI: Build AI solutions that run directly on devices, eliminating the need for cloud connectivity and enhancing privacy.

Access the Latest and Greatest: Explore and utilize a diverse ecosystem of models from leading providers like Mistral, Tech Mahindra, Preferred Networks, G42, and more. Experiment with open-source models like Llama 3.2 and fine-tune them to your specific needs.

Cutting-Edge Hardware: Deploy your creations on the powerful Snapdragon X series and experience unparalleled performance.

Comprehensive Toolkit: Leverage Qualcomm AI Stack, including TensorFlow Lite, ONNX Runtime, and Qualcomm AI Engine Direct, for seamless optimization and deployment.

Seamless Integration: Utilize cloud providers like Amazon SageMaker and Dataloop to train, fine-tune, and deploy your models effortlessly.

End-to-End Support: Benefit from Qualcomm's comprehensive ecosystem, including model makers, runtime providers, SDK partners, and more.

Requirements

What to Create

The possibilities are endless! Imagine creating AI-powered applications for:

  • Intelligent assistants and personalized experiences with Generative AI models.
  • Computer Vision with AI models for Image classification, Object detection, Semantic segmentation, Pose Estimation, and more.
  • Content creation with AI models for Image Editing, Super resolution, and more. 
  • Productivity tools with Speech recognition, Image generation, and Text generation models.

 

What to Submit

Build a Windows software application with an AI model from Qualcomm AI Hub.

  • Public URL to your code repository for judging and testing. 
  • Demo video (about 3 minutes)
  • Text description 
    • (Optional) What problem you are solving with your application? 

Hackathon Sponsors

Prizes

$20,000 in prizes
1st Place
1 winner

• $10,000 USD
• 30 min. virtual meeting with members of the sponsor organization
• Guest speaker at Qualcomm's Discord office hours sessions.
• Feature post on Qualcomm blog on www.qualcomm.com/developer
• Social promotion of the winning project

2nd Place
1 winner

• $7,500 USD
• 30 min. virtual meeting with members of the sponsor organization
• Guest speaker at Qualcomm's Discord office hours sessions.
• Feature post on Qualcomm blog on www.qualcomm.com/developer
• Social promotion of the winning project

3rd Place
1 winner

• $2,500 USD
• 30 min. virtual meeting with members of the sponsor organization
• Guest speaker at Qualcomm's Discord office hours sessions.
• Feature post on Qualcomm blog on www.qualcomm.com/developer
• Social promotion of the winning project

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Anand Shukla

Anand Shukla
VP, Program Management, Qualcomm Technologies, Inc.

Morris Novello

Morris Novello
Head of Developer Marketing, Qualcomm Technologies, Inc.

Rajan Mistry

Rajan Mistry
Tech Evangelist, Senior Staff Engineer, Qualcomm Technologies, Inc.

Jerry Chang

Jerry Chang
Staff Manager, AI Product Marketing, Qualcomm Technologies, Inc.

Nicholas Debeurre

Nicholas Debeurre
Senior Machine Learning Engineer/Senior AI Developer Advocate, Qualcomm Technologies, Inc.

Dileep Karpur

Dileep Karpur
Staff Product Manager, Qualcomm Technologies, Inc.

Sujay Jain

Sujay Jain
Senior Software Engineer, Netflix | Community Judge

Bhaarat Pachori

Bhaarat Pachori
AI Consultant | Community Judge

Aditya Mehra

Aditya Mehra
CTO, Infinict: Web3 and Innovation Labs | Community Judge

Judging Criteria

  • Technological Implementation
    Does the selection of the AI model from AI Hub demonstrate quality software development? Which tools are they using and are they using best practices? How good is code structure?
  • Design
    Is the user experience and design of the project well thought out?
  • Potential Impact
    How big of an impact could the project have on the Qualcomm audience?
  • Quality of the Idea
    How creative and unique is the project?
  • Best Use of Qualcomm AI Hub Model
    Did you optimize your AI Hub Model? What type of on-device performance did you get?

Questions? Email the hackathon manager

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Hackathon sponsors

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