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  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Classification, Customer Behavior, Data Exploration, Data Exploration, Machine Learning, Prediction
  • Tools: Classification, Excel, Machine Learning, marketing analytics, Python, R, Snowflake, Tableau
  • Citizenship: Open to all students
Summary

AgReliant wants to greatly increase the efficiency with which AgReliant sells to customers. We want to use Data Science and Machine Learning techniques to gain a better understanding of our customer base through segmentation and predictive behavior modeling.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Mathematics
  • Keywords: Automation, Data Cleaning, Data Visualization
  • Tools: Excel, FileMakerPro, Python, Tableau
  • Citizenship: Open to all students
Summary

Help get this historical data into a modern database that can (1) allow us to import the data into the AMS relational database and (2) build a public-facing dashboard so people can explore trends and answer their pressing questions about mathematicians’ salaries, PhDs, and more!

  • 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.

  • 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.

  • Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Energy
  • Keywords: AI, Anomaly Identification, Electrification, Energy Management, Energy & Renewables, Forecasting, Machine Learning
  • Tools: Azure, Python, R
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

The Reliability Imperative is the term MISO uses to describe the shared responsibility that MISO, its members, and states have to keep electricity moving. This involves analyzing large amounts of data to identify trends and patterns that impact the electric grid's reliability.

BASF - Wine Varietals Forecast
Open for Registration
  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, Climate, Machine Learning, Viticulture, Weather Data
  • Tools: AI forecast generation, Artificial Intelligence, Data Exploration, Data Integration, Machine Learning, Python, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

Build off the previous Data Mine team and their LSTM model to determine which weather variables within the model have the highest relationship with yield. Investigate AI-driven long-range weather forecast models (ideally 3 + month) to predict next season grape wine yields.

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.

  • 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.

  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Agriculture, Genetics, Optimization, Predictive Modeling, Simulation modeling
  • Tools: Optimization, Python, R, Stimulation
  • Citizenship: Open to all students
Summary

The project will explore, develop, and evaluate multi-generational simulation and optimization frameworks to breed improved genetics.

  • Lecture time: Friday: 11:30:00 - 12:20:00 ET
  • Lab time: Monday: 11:30:00 - 13:20:00 ET
  • Domain: Manufacturing
  • Keywords: LangChain, Large Language Models, Machine Learning, Python, Time Series Analysis, Vector and Raster Data, Visualizations
  • Tools: Gradio, Hugging Face, Pandas, Python, Pytorch, StreamLit
  • Citizenship: Open to all students
Summary

Creating a data dashboard with an integrated chatbot capable of helping the user to perform a variety of data mining and analysis tasks including: retrieving, preprocessing and visualizing sensor data, summarizing and answering questions about data and time-series forecasting.