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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.
- Lecture time: Friday: 11:30:00 - 12:20:00 ET
- Lab time: Monday: 11:30:00 - 13:20:00 ET
- Domain: Agriculture
- Keywords: Agriculture, Market Development, Market Trends
- Tools: Data Exploration, Feature Engineering, Machine Learning, Python, Time Series Data Analysis
- Citizenship: Open to all students
Summary
In order to better understand how to deliver solutions for our customers we wish to better understand the market dynamics a grower faces. Specifically, within key market segments. Tools for evaluation will be at the student's discretion.
Stratolaunch - Achieving Hypersonic Similitude
Open for Registration- Lecture time: Thursday: 15:30:00 - 16:20:00 ET
- Lab time: Tuesday: 15:30:00 - 17:20:00 ET
- Domain: Aerospace
- Keywords: Aerospace, Simulation modeling
- Tools: Data Modeling, Linear Optimization, Machine Learning, Programming, Statistical Modeling, Stimulation
- Citizenship: U.S. Citizens Required
Summary
Ground, flight, and simulation predictions disagree: how do we understand and predict the differences? The team will utilize Talon-P, a derived rocket-place data source, and statistical modeling to coorelate between flight, ground, and simulation data durin.
BASF - Wine Varietals Forecast - Fall Semester Only
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.
Yamaha - Production Scheduling Optimization
Open for Registration- Lecture time: Thursday: 12:30:00 - 13:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: Manufacturing
- Keywords: Optimization, Supply Chain
- Tools: Manufacturing Industry Specifics, Optimization, smart manufacturing
- Citizenship: Open to all students
Summary
YPPI creates a daily wax schedule manually which is dependent on customer demand and requested ship dates. Based on requested model and manufacturing type, and factoring in build time, people and equipment resource availability, YPPI needs a user-friendly method of determining th
Concrete Engine - High Performance Computing to unleash the AI potentials
Open for Registration- Lecture time: Tuesday: 11:30:00 - 12:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: Technology
- Keywords: AI, High Performance Compute, infrastructure, Software Developement
- Tools: Ansible, NodeJS, Python, ROCm, Ubuntu
- Citizenship: Open to all students
Summary
Concrete Engine builds computing and storage into shipping containers and connects them directly to green and underutilized energy sources. Using software-defined infrastructure, we empower AI solutions for the 21st century.