Elms College
Elms College
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AI and Machine Learning Applied Projects

BSE 324
Closed
Main contact
Cavendish University
Cavendish University
Chinwe Igiri
Educator
(1)
5
Timeline
  • March 8, 2025
    Experience start
  • May 24, 2025
    Experience end
Experience
2/2 project matches
Dates set by experience
Preferred companies
Anywhere
Startup, Incubator, Large enterprise, Small to medium enterprise
Any industries

Experience scope

Categories
Software development Machine learning Artificial intelligence Data visualization Data science
Skills
algorithms machine learning algorithms machine learning chatbot text mining natural language processing (nlp) artificial intelligence data visualization data analysis
Learner goals and capabilities

This experience is designed for undergraduate and master's degree students who are taking courses in Machine Learning and Artificial Intelligence. These learners have acquired foundational ML algorithms, data analysis, and model development. They are equipped to apply their knowledge to real-world projects, offering innovative solutions and insights. Students can bridge the gap between theoretical understanding and industry application by engaging in practical projects and enhancing their problem-solving and technical skills.

Learners

Learners
Undergraduate
Beginner, Intermediate levels
30 learners
Project
30 hours per learner
Educators assign learners to projects
Teams of 3
Expected outcomes and deliverables
  • Development of a predictive model using machine learning algorithms
  • Creation of a data visualization dashboard to present AI insights
  • Implementation of a natural language processing tool for text analysis
  • Design of a recommendation system based on user data
  • Prototype of an AI-driven chatbot for customer service or office assistance
Project timeline
  • March 8, 2025
    Experience start
  • May 24, 2025
    Experience end

Project examples

  • Develop a predictive for disease diagnosis
  • Create a sentiment analysis tool for social media platforms
  • Implement a fraud detection system for financial transactions
  • Build a machine learning model to optimize supply chain logistics
  • Develop an AI-based image recognition system for quality control
  • Create a chatbot to assist with customer inquiries in a retail setting
  • Design a predictive analytics tool for healthcare patient outcomes

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Text long
    Are there any specific resources or support that learners will need to complete the project successfully?  *
  • Q2 - Text long
    Have you worked with learners or interns before? If so, what was your experience?  *
  • Q3 - Text long
    Do you provide data and other resources for the project?