Today’s FinTech industry combines technologies, such as machine learning, data processing and blockchain. In Worcester MA, the Worcester IS FAB Lab utilizes blockchain and machine learning (ML) techniques to assist internet of things (IoT)-device based start-ups and support social good. The team delivered three different products to sponsors. First, the team utilized ML to help smart energy start-up Embue predict when apartment tenants opened their windows, saving energy by turning off the heat. The team also used ML to predict pavement deterioration for Cyvl, decreasing accidents associated with poor pavement conditions. Last, the team used blockchain to verify IoT devices for Embue.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Morreale, Cameron
• Debare, Joshua
• Shang, Qingbei
• Konadu, Mabel
• Moody, Kelsey

Subject

• Project-Based Learning
• Industry
• Energy
• Computing
• Innovation
• Security

Publisher

• Worcester Polytechnic Institute

Identifier

• 83611
• E-project-121522-171155

Keyword

• Filecoin
• machine learning
• IPFS
• fintech
• pavement predictions
• blockchain smart contract

Advisor

• Blais, Marcel Y.
• Zhang, Haichong
• Wong, Wilson
• Sarnie, Robert

Year

• 2022

Sponsor

• Worcester IS FAB Lab for Social Good

UN Sustainable Development Goals

• 7 - Affordable and Clean Energy
• 9 - Industry, Innovation and Infrastructure

Date created

• 2022-12-15

Resource type

• Major Qualifying Project

Major

• Computer Science
• Management Engineering
• Data Science

Source

• E-project-121522-171155

Rights statement

• In Copyright

Last modified

• 2023-01-12