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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?
Purdue Athletics - Purdue Athletics- Ticketing
Open for Registration- Lecture time: Monday: 13:30:00 - 14:20:00 ET
- Lab time: Friday: 13:30:00 - 15:20:00 ET
- Domain: Athletics
- Keywords: Pricing, Secondary Market Data, Stadium Mapping, Ticket Sales, Ticket Usage
- Tools: Dash, Plotly, Python
- Citizenship: Open to all students
Summary
Use ticket sales data and game day scan data from static files and auto generated .igy files. The map will provide an on-demand color coded visual of ticket type combinations and purchasing patterns. Scan data visual mapping and look at secondary market ticket pricing.
Elevance Health - Identifying Changes in Provider Billing Practices after Reimbursement Contract Changes
Open for Registration NDMN/IDM- Lecture time: Thursday: 11:30:00 - 12:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: Insurance
- Keywords: Machine Learning, Python
- Tools: Pattern Identification
- Citizenship: Open to all students
Summary
When healthcare providers change reimbursement contracts, billed procedure codes may change in an attempt to maximize the provider’s revenue. Early identification through claims data analytics will help keep healthcare costs affordable for our members.
Elevance Health - Security Use Cases Surrounding Abnormalities and Outliers
Open for Registration INDY- Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
- Lab time: Thursday: 09:30:00 - 11:20:00 ET
- Domain: Insurance
- Keywords: abnormality, Security, Unsupervised, Visualizations
- Tools: Machine Learning, Pandas, Python, SQL
- Citizenship: Open to all students
Summary
In the normal course of business, the security programs amount a staggering sum of data. Sifting through this data to discover irregular issues for devices, users, and logs is difficult and unwieldy. Author a framework capable of making these discoveries and detections.
- Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: Insurance
- Keywords: Data Engineering, Fraud, Imbalanced Classification, Parameter Selection, Security
- Tools: Jupyter, Machine Learning, Python, SQL
- Citizenship: Open to all students
Summary
Using security-oriented telemetry, find actionable instances of fraud in near real-time. Determine the probability that a transaction constitutes fraud and begin workflow.