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deaffriendly - Analyzing Reviews to Understand Deaf Consumer Experience Better
Closed for Registration DEAFPODS Students Only- Lecture time: To-be-determined: 00:00:00 - 00:00:00 ET
- Lab time: To-be-determined: 00:00:00 - 00:00:00 ET
- Domain: Social Network
- Keywords: Accessibility, Consumer Experience, DEAF PODS
- Tools: Data Cleansing, Data Exploration, Python, R
- Citizenship: Open to all students
Summary
The lecture meeting will be on Tuesday either 2PM EST or 3PM EST. The project will analyze deaffriendly data to increase our understanding of what makes a business deaf-friendly and/or deaf-challenged.
Finish Line - Order Routing Model
Open for Registration- Lecture time: Thursday: 12:30:00 - 13:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: Retail
- Keywords: Data Integrity, Machine Learning, Prediction
- Tools: Git, LOOKER, SQL
- Citizenship: Open to all students
Summary
Build a dynamic order routing model that predicts expected delivery time in a variety of scenarios but also includes the most advantageous location within the business to fulfill a web order that is not only cost efficient to the customer but also cost efficient to the business.
Pro Football Focus - Identifying NFL Throws
Open for Registration- Lecture time: Thursday: 12:30:00 - 13:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: Athletics
- Keywords: Data Analysis, Football, Machine Learning
- Tools: AWS, Python
- Citizenship: Open to all students
Summary
Using PFF play-by-play and advanced charting data, students will evaluate the value, difficulty, frequency, and other factors that determine the importance of NFL throws. Identifying these throws will help PFF isolate important aspects of quarterback play.
Webee - Manufacturing Insights
Open for Registration- Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
- Lab time: Thursday: 11:30:00 - 13:20:00 ET
- Domain: IoT
- Keywords: Anomaly Identification
- Tools: Azure, JavaScript
- Citizenship: Open to all students
Summary
This proposal is to provide the client with a comprehensive IoT connectivity assessment, to evaluate equipment and design an action plan with the most suitable set of sensors and variables to measure.
Webee - ML integration
Open for Registration- Lecture time: Thursday: 12:30:00 - 13:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: IoT
- Keywords: Integration, Machine Learning
- Tools: Azure, JavaScript
- Citizenship: Open to all students
Summary
The project involves integrating machine learning models into an existing IoT platform in order to improve its performance and efficiency. Specifically, the proposal outlines the types of ML models that will be used, the data sources and preprocessing steps required.
USDA Forest Service - Forest Inventory Analysis
Open for Registration- Lecture time: Thursday: 12:30:00 - 13:20:00 ET
- Lab time: Tuesday: 11:30:00 - 13:20:00 ET
- Domain: Forestry
- Keywords: Database, Data Structures, Forest Inventory and Analysis, Forestry, Natural Resources, Visualizations
- Tools: Data Analysis Process Architectures, Data Exploration, Excel, Machine Learning, Power BI, Python, R, SQL
- Citizenship: Open to all students
Summary
Explore extensive forest inventory data and changes in national forest inventory. Focus on a specific application of the dashboard through an AI modeling project and incorporate ancillary data sets of current and projected forest dynamics.
BASF - Forecasting Analogue Years for Wine Varietals
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 Change, Feature Engineering, Time Series Analysis, Weather Data
- Tools: Climate Modeling, Data Exploration, 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.
Merck - Molecular Generative Modeling
Open for Registration- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Pharmaceutical
- Keywords: Cheminformatics, Machine Learning
- Tools: Bash, Python, R, R Shiny
- Citizenship: Open to all students
Summary
Recently, generative models have emerged as a promising approach to accelerate various aspects of drug discovery, such as hit identification and lead optimization. Students will develop an application that deploys molecular generative models to chemists.
Inogen - Portable Oxygen Concentrator (POC) Analysis
Open for Registration- Lecture time: Friday: 13:30:00 - 14:20:00 ET
- Lab time: Monday: 13:30:00 - 15:20:00 ET
- Domain: Health
- Keywords: Behavioral Analytics, Comparative Analysis, data mining, Machine Learning
- Tools: AWS, GitHub, JavaScript, Machine Learning, Python, R, SQL, SQL Server, Tensorflow
- Citizenship: Open to all students
Summary
Analysis of POC and other medical equipment data to build predictive models for device usage, patient behavior, and environmental factors.
Caterpillar - EV Charging Operations
Open for Registration- Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
- Lab time: Thursday: 13:30:00 - 15:20:00 ET
- Domain: Energy
- Keywords: App development, Data Analytics, Energy Management, Linear Algebra, Mobile Application, Web Apps
- Tools: Artificial Intelligence, Machine Learning, Python, Sustainability Considerations in the Industry
- Citizenship: Open to all students
Summary
Built an app that can direct operators and fleet managers to receive geolocation push notifications to alert battery charging state, nearest available charging locations and routes, C-rate options, estimated charge time, and total cost.