2451489
Project Grant
Overview
Grant Description
SBIR Phase I: World of Hello: Using Artificial Intelligence (AI) for an interactive language-learning process designed for young children.
The broader commercial impact of this SBIR Phase I project lies in its potential to revolutionize early speech development tools, addressing the critical need for accessible and personalized support for children with communication delays.
This project aims to create an innovative platform that combines cutting-edge technology with user-friendly design to assist families and educators in fostering language growth.
By tailoring learning activities to individual progress and incorporating adaptive learning models, this solution will empower caregivers to actively participate in their child's developmental journey, bridging the gap between therapy sessions and home practice.
The anticipated commercial potential includes licensing to educational institutions and healthcare providers, as well as direct subscriptions for families, making the platform scalable and sustainable.
In its third year, the platform is projected to serve over 500,000 users nationwide, improving outcomes for children and reducing the need for costly, resource-intensive interventions.
This innovation aligns with NSF's mission to advance national health and welfare by creating a durable, inclusive solution that enhances scientific understanding and promotes equitable access to educational resources.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge of providing effective, scalable support for children with communication delays through advanced technology.
The research aims to develop an adaptive AI-driven platform that personalizes language learning activities based on the phonetic and linguistic needs of each child.
The core innovation lies in the integration of phoneme recognition algorithms and adaptive learning models to track, assess, and respond to language progress.
The project will focus on developing a robust framework for speech pattern analysis using machine learning techniques, ensuring accurate and inclusive recognition across diverse linguistic and cultural contexts.
Research objectives include achieving high accuracy in speech recognition, implementing real-time progress tracking, and designing intuitive user interfaces to maximize accessibility for caregivers and educators.
Anticipated results include a fully functional prototype demonstrating 90% phoneme recognition accuracy and seamless integration of adaptive learning pathways.
The outcomes of this research will lay the foundation for a transformative solution that bridges gaps in speech support services, ultimately contributing to the scientific understanding of language development while fostering practical, societal impact.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
The broader commercial impact of this SBIR Phase I project lies in its potential to revolutionize early speech development tools, addressing the critical need for accessible and personalized support for children with communication delays.
This project aims to create an innovative platform that combines cutting-edge technology with user-friendly design to assist families and educators in fostering language growth.
By tailoring learning activities to individual progress and incorporating adaptive learning models, this solution will empower caregivers to actively participate in their child's developmental journey, bridging the gap between therapy sessions and home practice.
The anticipated commercial potential includes licensing to educational institutions and healthcare providers, as well as direct subscriptions for families, making the platform scalable and sustainable.
In its third year, the platform is projected to serve over 500,000 users nationwide, improving outcomes for children and reducing the need for costly, resource-intensive interventions.
This innovation aligns with NSF's mission to advance national health and welfare by creating a durable, inclusive solution that enhances scientific understanding and promotes equitable access to educational resources.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge of providing effective, scalable support for children with communication delays through advanced technology.
The research aims to develop an adaptive AI-driven platform that personalizes language learning activities based on the phonetic and linguistic needs of each child.
The core innovation lies in the integration of phoneme recognition algorithms and adaptive learning models to track, assess, and respond to language progress.
The project will focus on developing a robust framework for speech pattern analysis using machine learning techniques, ensuring accurate and inclusive recognition across diverse linguistic and cultural contexts.
Research objectives include achieving high accuracy in speech recognition, implementing real-time progress tracking, and designing intuitive user interfaces to maximize accessibility for caregivers and educators.
Anticipated results include a fully functional prototype demonstrating 90% phoneme recognition accuracy and seamless integration of adaptive learning pathways.
The outcomes of this research will lay the foundation for a transformative solution that bridges gaps in speech support services, ultimately contributing to the scientific understanding of language development while fostering practical, societal impact.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the foundation's intellectual merit and broader impacts review criteria.
Subawards are not planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH / SMALL BUSINESS TECHNOLOGY TRANSFER PHASE I PROGRAMS", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF24579
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Beltsville,
Maryland
20705-1326
United States
Geographic Scope
Single Zip Code
Yeboah, Amy was awarded
Project Grant 2451489
worth $303,226
from National Science Foundation in January 2025 with work to be completed primarily in Beltsville Maryland United States.
The grant
has a duration of 8 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I: World of Hello: Using artificial intelligence (AI) for an interactive language-learning process designed for young children
Abstract
The broader commercial impact of this SBIR Phase I project lies in its potential to revolutionize early speech development tools, addressing the critical need for accessible and personalized support for children with communication delays. This project aims to create an innovative platform that combines cutting-edge technology with user-friendly design to assist families and educators in fostering language growth. By tailoring learning activities to individual progress and incorporating adaptive learning models, this solution will empower caregivers to actively participate in their child's developmental journey, bridging the gap between therapy sessions and home practice. The anticipated commercial potential includes licensing to educational institutions and healthcare providers, as well as direct subscriptions for families, making the platform scalable and sustainable. In its third year, the platform is projected to serve over 500,000 users nationwide, improving outcomes for children and reducing the need for costly, resource-intensive interventions. This innovation aligns with NSF’s mission to advance national health and welfare by creating a durable, inclusive solution that enhances scientific understanding and promotes equitable access to educational resources.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge of providing effective, scalable support for children with communication delays through advanced technology. The research aims to develop an adaptive AI-driven platform that personalizes language learning activities based on the phonetic and linguistic needs of each child. The core innovation lies in the integration of phoneme recognition algorithms and adaptive learning models to track, assess, and respond to language progress. The project will focus on developing a robust framework for speech pattern analysis using machine learning techniques, ensuring accurate and inclusive recognition across diverse linguistic
Topic Code
LC
Solicitation Number
NSF 24-579
Status
(Complete)
Last Modified 2/7/25
Period of Performance
1/15/25
Start Date
9/30/25
End Date
Funding Split
$303.2K
Federal Obligation
$0.0
Non-Federal Obligation
$303.2K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2451489
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
XJJGL1HMNLM4
Awardee CAGE
8P7K7
Performance District
MD-04
Senators
Benjamin Cardin
Chris Van Hollen
Chris Van Hollen
Modified: 2/7/25