Pioneering AI-powered Learning Platform

Tech
Project Type
Industry
Computing Infrastructure
Artificial Intelligence
Data Engineering
Robotics
Full Build
Consumer
Education
Enterprise
Government
Healthcare
On-prem
Edge Computing
AWS
Tech
Project Type
Industry
Computing Infrastructure
Artificial Intelligence
Data Engineering
Robotics
Full Build
Consumer
Education
Enterprise
Government
Healthcare
On-prem
Edge Computing
AWS
Tech
Project Type
Industry
Computing Infrastructure
Artificial Intelligence
Data Engineering
Robotics
Full Build
Consumer
Education
Enterprise
Government
Healthcare
On-prem
Edge Computing
AWS
Tech
Project Type
Industry
Computing Infrastructure
Artificial Intelligence
Data Engineering
Robotics
Full Build
Consumer
Education
Enterprise
Government
Healthcare
On-prem
Edge Computing
AWS
Services
AI Development
Full Build
Hardware Development
Software Development
Supply Chain
UI/UX Design
Deliverables
Computer vision system
Intuitive user interface

Massachusetts Institute of Technology

Overview: 

  • With rising disparities in education and the STEM fields, MIT sought to build an AI-based platform to make STEM more accessible from an early age to historically disadvantaged populations such as young girls and children of color. Protyo supported MIT teams in developing a cutting-edge AI and robotics platform that adapts to the educational needs of the child.

The challenge: 

  • Research has shown that there is a significant gap in access to STEM education by historically disadvantaged populations such as young girls and children of color. MIT has set an objective to actively research means by which AI and robotics can bridge that gap and make STEM more accessible for all.

The solution: 

  • Protyo integrated with MIT teams to help develop the models, software libraries, and robotic platform that will be used as an AI learning platform for classroom use by primary and middle school teachers and students between the ages of 6 to 14.

The impact: 

  • After close collaboration with MIT, Protyo helped the team to prepare and use the new platform for internal deployment.
Technologies
Virtual Reality
Eye Tracking
Android
Ultrasonic Sensor
LiDAR
ROS
Hyperspectral Sensing
Machine Learning
GCP
Mongo
AWS
PostgreSQL
Fleet Monitoring
Datadog
NLP
LLM
Javascript
C++
Artificial Intelligence
Sensor Fusion
Python
On-prem
Edge Computer
Embedded Linux
Computer Vision
C

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