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- Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Research and Development
- Keywords: Data Analysis, Feature Engineering, Python
- Tools: Data Analytics, Feature Engineering, Python
- Citizenship: Open to all students
Summary
This project primarily aims to categorize vehicles based on these usage metrics and the geographic areas where they operate.
Raytheon (RTX) - Smart RF Signal Classification
Open for Registration- Lecture time: Monday: 09:30:00 - 10:20:00 ET
- Lab time: Friday: 09:30:00 - 11:20:00 ET
- Domain: Aerospace
- Keywords: AI, Machine Learning, Python, UI/UX
- Tools: Artificial Intelligence, Data Engineering, Python, Radar Data, UX
- Citizenship: U.S. Citizens Required
Summary
Develop and test detection algorithms for the 3.5 GHz CBRS (5G) or similar bands where the primary users of the band are federal incumbent radar systems.
- Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Government
- Keywords: Data Visualization, Visualizations, Web Based Graphics
- Tools: D3, NLP, Python, R
- Citizenship: Open to all students
Summary
Three student teams will work together to determine whether congressional rhetoric has become more polarized over time. Team #1: Natural Language Processing: R, Python Team #2: Data Visualization Team #3: Web-Based Graphics: D3 programming
- Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: Athletics
- Keywords: Machine Learning, Statistics, Women's Basketball
- Tools: Azure, Databricks, Git, Python, SQL
- Citizenship: Open to all students
Summary
We aim to categorize global player playstyles, creating a single metric from box score data to identify breakout performances and consistent top performers across various levels from collegiate to Olympic competition.
AgRPA - Data fusion and AI for plant protection
Open for Registration- Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: Digital Agriculture
- Keywords: Big Data, Business Intelligence, Crop Monitoring, Data Analysis, Disease Detection, Precision Agriculture, Predictive Analysis
- Tools: AWS, Docker, java, Neural Network, Python, R, Tableau, Time Series Data Analysis
- Citizenship: Open to all students
Summary
Analyzing satellite images to uncover the risk of fungi using time series analysis and artificial intelligence. Enhance AgRPA Crop Monitoring platform by working with extensive datasets sourced from satellite images, aerial flights, and climate records.
- Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Manufacturing
- Keywords: Classification, Data Analytics, Data Science, Machine Learning, Predictive Analysis, Statistics
- Tools: Git, Machine Learning, Predictive Models, Python, R
- Citizenship: Open to all students
Summary
Delta Faucet Company has limited lifetime warranties on all our products. Students will use our customer service data, sales data and warranty data to project future product contacts and defects for our most sold models that have been created since 2018.
Knudsen Institute - Training LLMs within Manufacturing
Open for Registration- Lecture time: Thursday: 15:30:00 - 16:20:00 ET
- Lab time: Tuesday: 15:30:00 - 17:20:00 ET
- Domain: Technology
- Keywords: AI, Generative AI, Large Language Models, NLG, NLP, Open Source, Web Scraping
- Tools: GitHub, Hugging Face, Python, Pytorch, selenium
- Citizenship: Open to all students
Summary
Utilize or train LLMs to understand manufacturing-speak so that we can create applications in the manufacturing space.
John Deere - Field Boundary
Open for Registration- Lecture time: Thursday: 12:30:00 - 13:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: Digital Agriculture
- Keywords: Data Visualization, Digital Boundaries, Geospatial Analysis, Precision Agriculture, Python
- Tools: Geospatial Data Analysis, Machine Learning, Python
- Citizenship: Open to all students
Summary
Research and create a process to automate recognizing when two or more geometry objects, used to identify field boundaries, cover the same geospatial area. Furthermore, create criteria to evaluate the “best” geometry object to represent a field.
BASF - Forecasting Analogue Years for Corn and Soybeans
Open for Registration- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Agriculture
- Keywords: Agriculture, Agronomy, Climate Change, Clustering, Feature Engineering, Forecasting, Weather Data
- Tools: Climate Modeling, Clustering Algorithms, Data Exploration, Data Integration, Python, Time Series Data Analysis, Weather Forecasting
- Citizenship: Open to all students
Summary
Create a 2024 forecast in the style of The Farmer’s Almanac that estimates the likeliest analog years. Key data elements include rainfall, temperature, and other agronomic factors like planting/harvest dates. Create a digital means for interacting with the platform.
HUMN Capital - Business Intelligence - Fall Semester Only
Open for Registration- Lecture time: Monday: 15:30:00 - 16:20:00 ET
- Lab time: Friday: 15:30:00 - 17:20:00 ET
- Domain: Technology
- Keywords: Accessibility, Business Intelligence, Data Analytics, Data Visualization, entrepreneurship
- Tools: Python, R, SQL
- Citizenship: Open to all students
Summary
The team will provide analysis to senior leaders on employee engagement, predicting employee attrition, identifying high performers, and identifying opportunities for management development.