New Jersey Teen Develops App to Support Autistic Youth
Created in December 2025, the Kora app helps caregivers better understand the emotional expressions of children.
Updated on Oct. 16, 2026 in Autism
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In December 2025, New Jersey developer Shashank Madala launched Kora, a free mobile application designed to assist caregivers of autistic children in interpreting emotional expressions. The app provides visual feedback on emotional states, including happy, sad, angry, afraid, and neutral.
Why it matters
The tool was designed to prevent reliance on automated certainty, instead encouraging caregivers to observe children closely. By displaying multiple potential readings, it avoids providing potentially incorrect diagnostic assessments.
Kora currently serves more than 700 users across therapy centers in 12 countries. The app identifies various emotional expressions using machine learning patterns instead of fixed, rigid rules.
The players
Shashank Madala
He is the lead developer who created the Kora application while 15 years old.
LaMonica McIver
She serves as a Representative who awarded Madala a Certificate of Congressional Recognition.
The details
The application allows users to capture a photo of a child, which the app then analyzes to display confidence levels for various emotions via a row of bars. Co-developers Ayur Munipalli, Liam Casey, and Joseph Pontoriero worked alongside Madala, who began the project at age 15.
Timeline
In December 2025, Kora won the Congressional App Challenge competition.
In Summer 2026, the New Jersey legislature honored the creator with a resolution.
The Big Picture
The Congressional App Challenge fosters student interest in STEM by highlighting locally developed software, mirroring broader industry trends of student-led innovation in assistive technology.
Caregivers can use the free app to gain insights into a childs emotional state without needing formal medical screening scores. The application does not provide a diagnosis, keeping the focus strictly on daily support rather than medical intervention.
The takeaway
The application demonstrates how simple machine learning can assist caregivers in fostering closer connections with children. Users should remember that such tools are designed for observation and support, not for replacing professional medical diagnostics.
Further reading
Learn more about the latest innovations in Autism research and support tools.
Source note: This article includes information reported by Siliconeer.
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