AI-Powered Chatbot and Generative AI Solutions

MIT 823
Closed
Main contact
Sandbox lead
(1)
5
Timeline
  • September 25, 2025
    Sandbox start
  • December 1, 2025
    Sandbox end
Sandbox
1 projects wanted
Dates set by sandbox
Preferred partners
Anywhere
Any partner type
Any industries

Sandbox scope

Categories
Digital marketing Artificial intelligence Robotics
Skills
data synthesis generative artificial intelligence machine learning chatbot content creation natural language processing (nlp) intelligent systems project implementation artificial intelligence innovation
Student goals and capabilities

This experience is designed for Master’s students specializing in AI and Intelligent Systems, with a focus on the practical applications of chatbot and generative AI technologies. Learners will apply their knowledge of natural language processing, machine learning models, and AI development frameworks to design and implement innovative solutions.


Throughout the experience, students will explore how generative AI and conversational systems can be leveraged across industries—ranging from enhancing customer interactions through intelligent chatbots, to streamlining operations with process automation, to producing new forms of creative content. In addition to technical development, students will be encouraged to consider the ethical, social, and business implications of deploying AI-driven systems, including issues of data privacy, bias, and responsible use.


The objective of this experience is to bridge theoretical knowledge with hands-on practice, guiding learners to produce functional prototypes that demonstrate both technical feasibility and real-world value. By the end, students will gain deeper expertise in applying cutting-edge AI tools and approaches, while developing solutions that showcase their ability to innovate within this rapidly evolving field.

Students

Students
Post-graduate
Beginner, Intermediate levels
20 students
Project
30-60 hours per student
Sandbox leads assign students to projects
Individual projects
Up to 30 team(s) or 30 student(s) per project.
Each student can join up to 30 teams
Expected outcomes and deliverables
  • Functional chatbot prototype tailored to specific business needs
  • Generative AI model for content creation or data synthesis
  • Comprehensive project report detailing development process and outcomes
  • Presentation of project findings and future recommendations
  • Code repository with documentation for project implementation
Project timeline
  • September 25, 2025
    Sandbox start
  • December 1, 2025
    Sandbox end

Project examples

  • Develop a customer service chatbot for a retail company to handle common inquiries
  • Create a generative AI tool for automated marketing content generation
  • Design a chatbot for a healthcare provider to assist with patient appointment scheduling
  • Build a generative AI model to produce personalized product recommendations
  • Implement a chatbot for an educational platform to guide students through course selections
  • Develop a generative AI application for creating unique art pieces
  • Create a chatbot for a travel agency to provide destination information and booking assistance
  • Design a generative AI system for synthesizing research summaries from academic papers

Additional partner criteria

Partners must answer the following questions to submit a match request to this sandbox:

  • Q1 - Text short
    Do you agree to communicate any changes to the project scope to the educator for their review and approval?
  • Q2 - Text short
    How often do you plan to communicate with learners throughout the project?