PlayStation 5 Slim Disk (per team member)

MLH Winner Pins

4K QLED HDR Smart TV (per team member)

MLH Winner Pins

Meta Quest 3s (per team member)

MLH Winner Pins

Stream Deck 16 Key (per team member)

Raspberry Pi 5 (per team member)

OLED Switch (per team member)

Costco 1 year membership (per team member)

Your mission is to develop an innovative and robust recommendation engine designed to enhance our Technical Accelerators program.
At any given time, our team is developing 8-10 new Accelerators while actively delivering up to 600 ongoing projects.
The challenge is to develop a way to match customers to the Accelerators they would benefit from the most.

The core objective is to build a recommendation engine that excels in two key areas:
- Recommending New Accelerators to Existing Customers
- Recommending New Accelerators to New Customers

Your submissions will be evaluated on the following criteria:

1. Accuracy and Relevance: How well the recommendation engine can match accelerators to the needs of existing customers
2. Predictive Capability: The engine’s ability to efficiently recommend accelerators to new customers with minimal historical data.

**Problem**: Financial fraud (e.g. identity theft, transaction fraud) is a persistent challenge.

**Idea**: Develop an AI model that analyzes real-time transactions to detect suspicious activity. Use historical transaction data and patterns to build a machine learning model that flags anomalies.

- 1st place - JBL 3 Speakers (per team member)
- 2nd place - $25 Amazon Gift Card (per team member)

**Key Technologies**: Anomaly detection, neural networks, decision tress, and clustering algorithms.

**Example**: A system that tracks user behavior, flags unusual transactions (e.g., a large transfer from an unknown location), and alerts banks and customers in real-time.

NextEra Energy is the world's leading sustainable energy company, and it's our mission to accelerate industry toward a zero-carbon future. The next phase of our zero-carbon blueprint is to decarbonize the home, and we're challenging you to develop innovative solutions that help homeowners monitor, understand, and optimize their energy consumption. Your task is to make home energy use more efficient and sustainable through a mobile app, web app, loT device, data analysis tool, or any other technology-driven solution of your choice.
Your project should aim to be user-friendly, impactful, and scalable, demonstrating how technology can drive significant improvements in household energy efficiency.

### Prizes

- 1st Place - Guaranteed interview for internships, rotational programs, or full-time positions (whichever is most applicable for the student)
- 2nd Place - Shadow Day for role of your choice / Facility Tours
- 3rd Place - $50 Amazon gift card per participants

### M5GO IoT Starter Kit

MongoDB Atlas takes the leading modern database and makes it accessible in the cloud! Get started with a [$50 credit for students](https://mlh.link/mongodb) or sign up for the [Atlas free forever tier](https://mlh.link/mongodb-free) (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](https://mlh.link/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.

[

Build with MongoDB →

](https://mlh.link/mongodb)

### Hack from Home Kit

GoDaddy Registry is giving you everything you need to be the best hacker no matter where you are. Register your domain name with GoDaddy Registry for a chance to win a Hack from Home Kit! Each Kit contains wireless earbuds, blue light glasses, selfie ring light and a pouch for easy transport.

[

Build with GoDaddy Registry →

](https://mlh.link/GoDaddyRegistry)

### Arduino Tiny ML Kit

Want to take your Python skills to the next level? [Streamlit](https://mlh.link/streamlit) is an open-source Python library that makes it easy to share and build custom web apps for machine learning, data science, and more. Instead of writing Python scripts without a UI, you can create a beautiful web app, complete with widgets and data visualizations, and [deploy it for free to the Streamlit Community Cloud](https://hackp.ac/streamlit-deploy). You can even build a fully functional LLM-powered app with just 25 lines of code! Hack with Streamlit this weekend for your chance to win an Arduino Tiny ML Kit for you and each member of your team.

[

Build with Streamlit →

](https://mlh.link/streamlit)

### Arduino Kit

Cloudflare is one of the world's largest networks enabling hackers like you to build, deploy, and deliver trusted applications, no matter where you are! With Cloudflare, you'll have all the building blocks to create a full-stack application; from C3 (create Cloudflare command line) instance deployment to object storage. You can even run GenAI (LLMs, text to image, Voice to text etc..) in the cloud and leverage your AI functionality via API requests using Cloudlfare's Workers AI! Enjoy Cloudflare''s generous free tier to get started at no cost! This weekend, we want you to build an AI Application utilizing Cloudflare's numerous services for a chance to win Arduino Kits for you and your team!

[

Build with Cloudflare →

](https://mlh.link/cloudflare)

### Assorted Lego Sets

Databricks is an open analytics platform that helps you build, deploy, and maintain large scale data & AI solutions! Whether you're working with large language models using [Mosaic AI](https://docs.mosaicml.com/en/latest/), storing data with [Databricks Data Lakes](https://www.databricks.com/discover/data-lakes), or deploying GenAI powered applications using [MLflow](https://mlflow.org/), Databricks Open Source software has the tools you need to make your hackathon project state of the art.

Build an AI powered project utilizing Databricks Open Source projects like the ones mentioned, or
Databricks friendly Open Source projects like LanceDB and Llama Index, TensorFlow, PyTorch, Apache Spark, Delta Lake, Redash, Delta Sharing, Keras, RStudio, Scikit-learn, XGBoost, for a chance to win some amazing prizes for you and your teammates!

[Build with Databricks →](https://mlh.link/databricks)