Directions
Use the Companies tab to view all projects by company
Use the Search tab to search for projects by domain, keywords, and meeting time
Click on individual projects to view more information including project descriptions from corporate partners
- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Agriculture
- Keywords: Agriculture, Conservation, Data Analysis, Data Cleaning, Natural resources, Sustainability, Web Scraping
- Tools: application building, Databases, Data Cleansing, Python, SQL, Web-scraping
- Citizenship: Open to all students
Summary
Refine a web scraping tool that searches online sources such as the United State Department of Ag (USDA) or the Natural Resources Conservation Services (NRCS) listing of programs, and brings those programs together in a geographical manner to be presented to growers.
USDA Forest Service - Development of a Google Earth Engine-based app for National Forest Inventory Plot data Exploration
Open for Registration NDMN/IDM ONLINE- Lecture time: Monday: 11:30:00 - 12:20:00 ET
- Lab time: Friday: 11:30:00 - 13:20:00 ET
- Domain: Forestry
- Keywords: Geospatial Analysis, Google Earth Egine, National Forest Inventory data, Predictive Analysis, Satellite Imagery
- Tools: Data Visualization, Excel, Geospatial Data Analysis, Google Earth Engine, JavaScript, Python, R, Satellite Imagery
- Citizenship: Open to all students
Summary
Students will create an R package/Script Library/Dashboard (Tableau or PowerBI) and develop training guides for using the package/library/dashboard in multiple languages, perhaps taking advantage of AI translator services or native language skills.
Dormakaba - Project: SKUniverse
Open for Registration- Lecture time: Monday: 13:30:00 - 14:20:00 ET
- Lab time: Friday: 13:30:00 - 15:20:00 ET
- Domain: Research and Development
- Keywords: Data Analysis, Data Analytics, Database, Data Cleaning, Data Exploration, Data Integrity
- Tools: Data Analysis Process Architectures, Data Analytics, Databases, Data Cleansing, Data Exploration, Data Management, Data Modeling, Data Visualization, High Performance Computing
- Citizenship: U.S. citizens and permanent residents preferred
Summary
By utilizing data mining techniques, this project aims to analyze historical sales data, customer feedback, and market trends to identify high and low-performing SKUs.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Manufacturing
- Keywords: Statistics
- Tools: Angular, NodeJS, Python, R
- Citizenship: Open to all students
Summary
Enhance operational excellence by leveraging insights from data analytics and visualizations you create to drive real-time actionable improvements in performance and quality.
Indiana Fever - Global Competition Evaluation
Open for Registration- Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Athletics
- Keywords: Machine Learning, Statistics, Women's Basketball
- Tools: Azure, Databricks, Git, Python, Spark, SQL
- Citizenship: Open to all students
Summary
Build out comparison model weighing the level of competition for each league and tournament we capture data for across the globe. Create a global index of these leagues that determine how the performance of a player in a league like the Australian NBL would translate to the WNBA.
Purdue Athletics - Purdue Athletics Strength and Conditioning
Open for Registration- Lecture time: Thursday: 09:30:00 - 10:20:00 ET
- Lab time: Tuesday: 09:30:00 - 11:20:00 ET
- Domain: Athletics
- Keywords: Optimized Training, Profiling Athletes
- Tools: Data Management, Python, R, Tableau
- Citizenship: Open to all students
Summary
Infer outcomes and recommendations for optimal training. Create an understanding of outcomes based on individual profiles and trends from training data. Identifying metrics most impactful on performance and reporting through Tableau that can be utilized in the Apollo AMS system.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Manufacturing
- Keywords: Mobile Application
- Tools: Predictive Models
- Citizenship: Open to all students
Summary
Walker die casting has extensive understanding of what inputs result in certain material/surface/porosity defects. At our leak testing station castings still fail after machining due to porosity defects.
Corteva - Database and Large Language Model (LLM) analysis of Agricultural Patents
Open for Registration INDY- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Digital Agriculture
- Keywords: Large Language Models
- Tools: Python
- Citizenship: Open to all students
Summary
This project will involve using a large language model to analyze agricultural patents to create a repository/database of information related to crop protection.
Corteva - Database and Large Language Model (LLM) analysis of crop protection product labels and SDSs
Open for Registration INDY- Lecture time: Tuesday: 14:30:00 - 15:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Digital Agriculture
- Keywords: Large Language Models
- Tools: Python
- Citizenship: Open to all students
Summary
This project will involve using a large language machine learning model to analyze Corteva and third- party product labels and SDSs to create a repository/database of information related to crop protection products.
- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Aerospace
- Keywords: Large Language Models
- Tools: Python
- Citizenship: U.S. Citizens Required
Summary
Key to this project is the development and testing of a Large Language Model (LLM) to support the use of ChatBot which an user can query to obtain information from the procedures and technical manuals.