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Microsoft - Social Analysis Platform
Closed 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.

  • Lecture time: Thursday: 12:30:00 - 13:20:00 ET
  • Lab time: Tuesday: 11:30:00 - 13:20:00 ET
  • Domain: Manufacturing
  • Keywords: Aerospace, Analytics, Business Intelligence, Data Cleaning, data mining, Data Visualization, Machine Learning, Predictive Analysis, Sales Forecasting
  • Tools: Data Analytics, Machine Learning, Power BI, Python, R, Tableau
  • Citizenship: Open to all students
Summary

Develop a predictive model by leveraging advanced analytics and machine learning techniques, the project aims to provide an accurate sales forecast that in turn enhances internal inventory management, optimizes supply chain operations, and improves sales strategies.

  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 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: 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.

  • Lecture time: Thursday: 15:30:00 - 16:20:00 ET
  • Lab time: Tuesday: 15:30:00 - 17:20:00 ET
  • Domain: Aerospace
  • Keywords: cyber security, Machine Learning, Satellite, Satellite
  • Tools: Linux, NLP, Python, SPARTA
  • Citizenship: U.S. Citizens Required
Summary

Students will develop a machine-learning model to detect and identify cyberattack-based anomalies using satellite telemetry data.

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Predictive Modeling
  • Tools: Predictive Models, Python, Statistics
  • Citizenship: Open to all students
Summary

Strategically positioning our vegetable products at Syngenta in the most suitable markets is crucial for product success. Product performance is influenced by the combination of genetics, environment, and management practices.

V2X - Maintenance Troubleshooter LLM
Closed for Registration INDY
  • 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: 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

  • 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?

  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace
  • Tools: Anomaly Identification
  • Citizenship: U.S. Citizens Required
Summary

An Automated Tool to Find & Extract the Most Relevant Data from Large, Complex, & Unique Spacecraft Telemetry for the Discovery and Characterization of Abnormal Events and Trends.