FIND MORE INFORMATION AT AIATL.IO
Requirements
For every project that is being created and submitted for AI ATL 2025, we require a Devpost submission. The submission will be used to make decision on winners in addition to the live demos on the final day of the hackathon, so please be sure to put effort into your submission whether that be your video, description, etc....
To be eligible for tracks and challenges for your submission, you must select the specific prize categories that you are eligible for (e.g. Google, PrizePicks, Drive Capital, etc...).
You must also submit a Github repository along with your submission that was created BETWEEN when hacking official began and when hacking ends.
For the devpost submission, we are requiring a recorded demo video. This is generally up to the team's discretion, but it is recommend to be roughly 5 minutes long and show a demonstration of your project including features, functionality, and introduction to the problem space.
Your Devpost submission must be made no matter than 12AM (midnight) on Sunday November 9th, 2025. It is recommended that you publish your project before then and all members of the team must be added to the submission. Additionally, your Github can not be edited after 8 AM Sunday November 9th, 2025. We will NOT accept any submissions made after the submission deadline. You can publish your project any time during the weekend and still edit the submission before the deadline, and it is recommended to all participants that you do.
Prizes
Overall Track Winner
Awarded to the best overall project of the hackathon.
Each team members will win a Nintendo Switch 2 and MLH winner pin
Beginner Track Winner
Awarded to the best beginner project of the hackathon.
Each team member will win an iPad (11th Generation)and MLH winner pin
Google Cloud - Overall
Ready to move beyond simple text chatbots? This track challenges you to build the next generation of AI applications using Google's most advanced tools for generative media and autonomous agents. We are looking for solutions that don't just talk, but do—creating rich media on the fly and executing complex tasks autonomously.
Whether you are focused on pushing the boundaries of creative expression with our latest media models or building sophisticated reasoning engines that can navigate real-world workflows, this is your chance to build with the tools that are defining the future of applied AI.
To qualify for the Google track's prizes, your project must be one of the following:
1. Media Mastery: Projects that leverage Google's cutting-edge generative media models. This includes using Veo 3.1 for advanced video generation, Imagen 3 for high-fidelity creation, or Gemini 2.5 Flash Image (aka "nano-banana") for precise, prompt-based image editing and character consistency.
2. Agentic Intelligence: Projects that build autonomous agents capable of reasoning, planning, and executing tasks. These should be built using Google's Agent Development Kit (ADK) and can be deployed using the Vertex AI Agent Engine for production-grade scalability and memory management.
3. Most Impactful: Projects that demonstrate clear real-world utility and scalability. This award recognizes solutions with practical deployment potential—whether in consumer products, enterprise workflows, or industry systems—showing the ability to meaningfully shift how something is done today.
Overall Prize - Pixel Bud Pros + Exclusive Swag Bundle
Beginner Prize - Exclusive Swag Bundle
Google Cloud - Beginner
Ready to move beyond simple text chatbots? This track challenges you to build the next generation of AI applications using Google's most advanced tools for generative media and autonomous agents. We are looking for solutions that don't just talk, but do—creating rich media on the fly and executing complex tasks autonomously.
Whether you are focused on pushing the boundaries of creative expression with our latest media models or building sophisticated reasoning engines that can navigate real-world workflows, this is your chance to build with the tools that are defining the future of applied AI.
To qualify for the Google track's prizes, your project must be one of the following:
1. Media Mastery: Projects that leverage Google's cutting-edge generative media models. This includes using Veo 3.1 for advanced video generation, Imagen 3 for high-fidelity creation, or Gemini 2.5 Flash Image (aka "nano-banana") for precise, prompt-based image editing and character consistency.
2. Agentic Intelligence: Projects that build autonomous agents capable of reasoning, planning, and executing tasks. These should be built using Google's Agent Development Kit (ADK) and can be deployed using the Vertex AI Agent Engine for production-grade scalability and memory management.
3. Most Impactful: Projects that demonstrate clear real-world utility and scalability. This award recognizes solutions with practical deployment potential—whether in consumer products, enterprise workflows, or industry systems—showing the ability to meaningfully shift how something is done today.
Overall Prize - Pixel Bud Pros + Exclusive Swag Bundle
Beginner Prize - Exclusive Swag Bundle
PrizePicks
The Next-Gen Game Flow challenge invites teams to re-imagine how fans interact with live sports by using data and intelligent systems. Participants will build tools, features, or experiences that enhance real-time sports engagement—whether through predictive insights, personalized recommendations, interactive visualizations, or new second-screen interfaces.
1st Prize - $2,000 split between team!
Microsoft for Startups
Challenge participants must onboard to Microsoft for Startups platform, utilize MFS tools in their projects, and have a viable startup business model that they plan to continue working on post-AI ATL.
1st Prize - $25,000 credits, Microsoft for Startups benefits (VSCode Enterprise, Github Enterprise, LinkedIn Recruiters + Sale Navigator) +
Exclusive Merch!
2x Honorable Mentions - Exclusive Merch!
Matt Steele
Go beyond the dataset. This track challenges you to build the vital link between the physical world and artificial intelligence. We're looking for pioneers who are collecting, processing, or labeling data in truly novel ways to unlock the next generation of AI.
This track is for projects that tackle the hard problems of data. How do we teach models about new modalities? How do we capture the complexities of human interaction and spatial environments? We are placing a **big emphasis on spatial planning, getting ai to understand the world around it in novel ways, and innovative data collection via current mobile devices, wearables, ai glasses,** and other novel sensors.
This track is sponsored personally by Matt Steele, driven by his curiosity at the intersection of AI, wearables, and spatial data. If your project is building a new way for AI to see, sense, or interact with the world, this is your track.
To qualify for this track, your project must demonstrate one of the following:
1. Novel Data Collection: This track recognizes projects that collect novel types of training data required for AI models to learn a new modality (e.g., spatial, haptic, biometric, or environmental data).
2. Innovative Processing & Labeling: This track celebrates projects that can effectively process and label new modalities of data that are not generally incorporated in LLMs today, with a special focus on human movement and interaction.
3. The Human-Data Interface: This track highlights projects that use wearables, robotics, or other sensors to create a new, high-fidelity feedback loop between human action and AI understanding, enabling new possibilities in spatial planning and interaction.
1st Prize - $1k split between team
Drive Capital
As Al systems move from experimental demos to mission-critical enterprise workflows, reliability has become the defining challenge. In this track, participants will explore how to design, build, and evaluate **Al systems that organizations can actually trust**: models and agents that are robust, explainable, compliant, and production-ready.
Teams are invited to tackle problems that make Al work in the real world: monitoring model drift, building guardrails for LLMs, detecting hallucinations, ensuring data privacy, enforcing safety policies, or improving auditability and human-in-the-loop feedback. Projects might range from reliability infrastructure (evaluation frameworks, red-team tools, observability dashboards) to applied systems (Al copilots with verifiable reasoning, domain-specific trust layers, or compliance-aware workflows).
The goal: make Al enterprise-grade—reliable, repeatable, and responsible.
Who should join: builders who care as much about trust as performance—ML engineers, data scientists, reliability researchers, and enterprise developers eager to push AI from prototype to production.
1st Prize - Winners get to pitch to a Drive Capital partner for up to a $500k investment!
Best Use of Solana
The world of development is evolving fast and Solana is leading the charge with a network built to handle all of your infrastructure needs. Forget high fees and slow confirmations, it’s time to build applications that are fast, efficient, and scalable.
Harness Solana's core advantages like blazing fast execution and near-zero transaction costs to make your hackathon ideas become real world projects. With Solana, the possibilities are endless.
- Create a game, social app, or consumer product that relies on instant, high-frequency transactions.
- Design a sophisticated trading, lending, or decentralized exchange (DEX).
- Build a prototype for supply chain, identity, or payments that can handle massive, real-world volume.
Show us how you can innovate with Solana for a chance to win some cool prizes for you and each member of your team!
Prize: SenseCap Card Trackers
Best Use of Gemini API
It’s time to push the boundaries of what's possible with AI using Google Gemini. Check out the Gemini API to build AI-powered apps that make your friends say WHOA. So, what can Gemini do for your hackathon project?
- Understand language like a human and build a chatbot that gives personalized advice
- Analyze info like a supercomputer and create an app that summarizes complex research papers
- Generate creative content like code, scripts, music, and more
Think of the possibilities… what will you build with the Google Gemini API this weekend?
Prize: Google Swag Kits
Best Use of Vultr
Vultr empowers hackers to bring their high-performance projects to life instantly; providing everything from the speed of one-click deployment and scalable cloud compute, to specialized Vultr Cloud GPUs that can power AI-driven applications. We want you to push the limits of what can be built when infrastructure is no longer the bottleneck!
Sign up for a Vultr account today and claim your free cloud credits! Take your next hack to the cloud with Vultr for a chance to win some awesome portable screens for you and your team!
Prize: Portable Monitor Screens
Best Use of Snowflake API
Play with industry-leading LLMs on a single account using the Snowflake APIs. Adding AI capabilities into your application can be as simple as a single CURL command to Snowflake’s REST API.
Build customized applications, RAG powered chat bots, or embed AI-powered features into your app in half the time with half the hassle. Get started for free with a special, student 120-day Snowflake trial and check out this repository for an example of the Snowflake REST API in action.
Prize: Arduino Tiny ML Kits
Best Use of ElevenLabs
Deploy natural, human-sounding audio with ElevenLabs. Create realistic, dynamic, and emotionally expressive voices for any project, from interactive AI companions to narrated stories and voice-enabled apps. ElevenLabs will empower you to build rich, immersive experiences without the need for actors or complex audio production, using simply the power of AI.
Integrate fully autonomous audio experiences into your hack with ElevenLabs and give your project a voice, along with giving your team the chance to win some wireless earbuds!
Prize: Beats Wireless Earbuds
Best Use of MongoDB Atlas
MongoDB Atlas takes the leading modern database and makes it accessible in the cloud! Get started with a $50 credit for students or sign up for the Atlas free forever tier (no credit card required). Along with a suite of services and functionalities, you'll have everything you need to manage all of your data, and you can get a headstart with free resources from MongoDB University! Build a hack using MongoDB Atlas for a chance to win a M5GO IoT Starter Kit for you and each member of your team.
Prize: M5GO IoT Starter Kits
Best .Tech Domain Name
Make your Team's Achievements timeless: Win a .Tech Domain Name for up to 10 years to Showcase and Expand Your Project, Plus Blue Snowball Mics for Effortless Collaboration on Zoom, empowering you to build even more cool things together!
Prize: HyperX desktop Microphone & your winning .Tech Domain Name for up to 10 years!
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Jack Andrews
Ishana Shinde
Saipreetham "Preetham" Thelluri
Karthigayan Devan
Krishna Kandi
Vaibhava Lakshmi Ravideshik
Kiran Babu Macha
Rashi Nimesh Kumar Dhenia
Anusha Kovi
Sai Tejaswi Bellapukonda
Ishan Pakuwal
Jubinder Singh
Amruth Puppala
Palash Taneja
Rugved Hattekar
Shriniwas Suram
Jing (Stacey) Yao
Kshama Nitin Shah
Kemmannu Vineet Venkatesh Rao
Pramit Bhatia
Roopesh Kumar Reddy Ramalinga Reddy
Chaitanya Maniar
Shreya Satish Kulkarni
aparna achanta
Rafiuddin syed
Maninder Jeet Singh
Karthik Reddy A
Kshitij Pisal
Suresh Vadigi
Maggie Yang
Victor Almeida Barros
Venkata Avinash Samsani
Snezana Zivcevska-Stalpers
Judging Criteria
-
Technology
How technically impressive was the hack? Was the technical problem the team tackled difficult? Did it use a particularly clever technique or did it use many different components? Did the technology involved make you go "Wow"? -
Completion
Does the hack work? Did the team achieve everything they wanted? -
Design
Did the team put thought into the user experience? How well designed is the interface? For a website, this might be about how beautiful the CSS or graphics are. For a hardware project, it might be more about how good the human-computer interaction is. -
Learning
Did they try to learn something new? What kind of projects have they worked on before? If a team which always does virtual reality projects decides to switch up and try doing a mobile app instead, that exploration should be rewarded.
Questions? Email the hackathon manager
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