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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.
Microsoft - Social Analysis Platform
Open for Registration- Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
- Lab time: Thursday: 15:30:00 - 17:20:00 ET
- Domain: Game
- Keywords: Analytics, Data Engineering, Data Science, Games, Minecraft, Mojang Studio, Python
- Tools: Azure, Databricks, ETL, Machine Learning, NLP, Python, Spark
- Citizenship: Open to all students
Summary
This year’s project will explore using AI tools to generate insights from text, image and video content on social platforms to develop efficient pipelines to process and enrich multi-modal content. Create tools to improve how processed data and insights can be analyzed.
Purdue Student Life - Recreation and Wellness Data
Open for Registration- Lecture time: Friday: 13:30:00 - 14:20:00 ET
- Lab time: Monday: 13:30:00 - 15:20:00 ET
- Domain: University
- Keywords: Belongingness, Factor Analysis, Python, Student Experience, Student Life
- Tools: Data Cleansing, Data Exploration, R-Studio, Statistical Modeling, Technical Writing
- Citizenship: Open to all students
Summary
In 2023-24 RecWell had close to 1.7 million entries. What does all of this data say about our students? What is the impact of engaging with the Recreation and Wellness Center on students? Does it impact their grades? Their feeling of belonging? This is what we want you to help us
Wabash - E-Commerce Website Analytics & Support
Open for Registration- Lecture time: Monday: 09:30:00 - 10:20:00 ET
- Lab time: Friday: 09:30:00 - 11:20:00 ET
- Domain: Supply Chain
- Keywords: AI, Azure, Behavioral Analytics, Web Browser Extension, Website
- Tools: AI forecast generation, Azure, Azure IoT, Data Analytics
- Citizenship: Open to all students
Summary
Using the website data, this project will explore customer behaviors that will give clear insights into Marketing Decisions, Sales Discussions, and Inventory analysis. What results in a sale, and what prohibits customers from purchasing?