Capstone – Project

Students will work to asses walking function in the real world through AI powered Insoles.

A Collaboration Between

Engagement Synopsis

The AI-Sole is an AI-powered wearable system that fits inside regular sneakers and enables accurate, affordable measures of ambulatory function (walking/running) in controlled and real-life environments. At the core of the technology are machine learning inference models that leverage previously collected data to reduce measurement errors, thereby producing highly accurate estimates of spatial, temporal and kinetic gait parameters even when using affordable, mid-level sensors.

The AI-Sole technology has gone through several validation studies with healthy individuals and diverse clinical populations. The system is now ready for commercialization through the creation of a new startup. The ultimate goal of this semester-long project is to make this startup idea ready for the investor pitch.

To achieve this goal, the student team will need to:
Understand the technology/product: connected wearables and “smart” footwear
Understand the market: two potential markets for the application of this technology are
clinical research market (pharma, academia), and
consumer market (sports, fitness).
Understand the industry: study existing strategies, services, data infrastructures and regulations/policies related to Smart Wearable Devices and Digital Health
Understand the customers: inform decisions on the best go-to-market strategy.
Understand the investors: identify who are the right investors to pitch to

Team Responsibilities:
Identify customers (e.g., interviews, customer data mining, etc.) and create customer profiles in each market.
Propose go-to-market strategy.
Research competitors and conduct industry analysis (e.g., Porter Five Forces)
Run SWOT analyses and develop business strategies
Make financial projections and propose financing strategies
Draft a business model canvas and business plan based on the research activities
Prepare materials for a potential investor pitch

Team Member Qualifications:
Familiarity with common machine learning techniques for IoT technologies and connected wearable devices.
Familiarity with common platforms and cloud technologies to share and process personal data remotely.
Strong interpersonal skills and the ability to interact well with all levels of management
Team player with the ability to build productive relationships
Business writing and presentation skills
Knowledge of project management
Strong technical skills in Microsoft Office and data visualization tools

Company Information

CompanyCompany A
HQN/A
RevenueUnlisted
EmployeesUnlisted
StagePre-Revenue Startup
Hiring PotentialN/A
Website

Company Overview

The AI-Sole is an AI-powered wearable system that fits inside regular sneakers and enables accurate, affordable measures of ambulatory function (walking/running) in controlled and real-life environments. At the core of the technology are machine learning inference models that leverage previously collected data to reduce measurement errors, thereby producing highly accurate estimates of spatial, temporal and kinetic gait parameters even when using affordable, mid-level sensors. The AI-Sole technology has gone through several validation studies with healthy individuals and diverse clinical populations. The system is now ready for commercialization through the creation of a new startup. The ultimate goal of this semester-long project is to make this startup idea ready for the investor pitch.

Course Info & Engagement Details

SchoolStevens Institute of Technology, School of Business Industry Capstone Program
Engagement FormatCapstone - Small Team Consulting Project - Students work in small groups of 2-6 directly with faculty and host company project champions on developing real solutions to real-world challenges.
CourseFall 2021 Industry Capstone Program
Level
  • All Graduate
Students Enrolled30 (5-6 students per project)
Meeting Day & TimeTBD
Student Time Commitment8-15 Hours Per Week
Company Time Commitment1 Hour
Duration13.43 Weeks

Project Topics

Data Management

Product Design & Development

Sales & Business Development

Social Impact

Software Design & Development

Students

Student

Somya Sharma

ssharm23@stevens.edu

Student

Aniket Bansal

abansal5@stevens.edu

Student

Om Bidhalan

obidhala@stevens.edu

Student

Rajiv Mahajan

rmahaja2@stevens.edu

Collaboration Timeline

Touchpoints & Assignments Due Date Type
Application Deadline for Fall 2021 Projects

Application Deadline for Fall 2021 Projects

August 13th, 2021 Event na
Resume Upload Resume Upload
 
August 13th, 2021 Submission Required submission-required
First Day of Classes

First Day of Classes

Students must register for their specified section of MGT 809 by this date.
August 30th, 2021 Event na
Teams finalized/students notified

Teams finalized/students notified

information coming soon
September 3rd, 2021 Event na
Kickoff Evaluation Due

Kickoff Evaluation Due

September 6th, 2021 Evaluation evaluation
Project Kick Off

Project Kick Off

Prior to this date, all projects will begin.
September 10th, 2021 Event na
UPLOAD MILESTONE #1 DELIVERBALE UPLOAD MILESTONE #1 DELIVERBALE
September 24th, 2021 Submission Required submission-required
Reminder of Confidentiality

Reminder of Confidentiality

During this program, you'll be working on a real project posed by a real industry partner. By registering for the CapSource system and participating in this Program, you are bound by the Rules of Engagement, including strict confidentiality of information shared with you. Please be respectful and professional.
October 8th, 2021 Event na
Temp Check #1 Due

Temp Check #1 Due

October 8th, 2021 Evaluation evaluation
Temp Check #2 Due

Temp Check #2 Due

October 29th, 2021 Evaluation evaluation
Town Hall Presentations

Town Hall Presentations

DATE TBD! Mid-semester update on projects with faculty, staff, industry partners and students
November 15th, 2021 Event na
Temp Check #3 Due

Temp Check #3 Due

December 3rd, 2021 Evaluation evaluation
End Date of Fall 2021 Projects

End Date of Fall 2021 Projects

Students will work with their faculty advisors & industry partners to schedule end of semester presentations and wrap up any tasks.
December 10th, 2021 Event na
Drop Box for End of Project Deliverables Drop Box for End of Project Deliverables
 
December 10th, 2021 Submission Required submission-required
Final Peer Evaluation Due

Final Peer Evaluation Due

December 10th, 2021 Evaluation evaluation
Final Self Evaluation Due

Final Self Evaluation Due

December 10th, 2021 Evaluation evaluation

Key Milestones & Project Process

Project Resources

There are no resources currently available

Company Supervising Team

There are currently no supervisors assigned.

School Supervisors

Instructor

Frank Gallucci

fgallucci@whitestone.net