Your Full Name
Kavi Praanesh
App Name
MeloCognia
One-Sentence Description
An AI-powered app that detects early signs of Parkinson’s disease through voice analysis
About You
I’m a high school student who’s really into biomedical innovation, machine learning, and finding ways to use tech to solve real problems. I like exploring medical research and thinking about how data and AI can make early detection and diagnosis better. I started coding because I wanted to bring my ideas to life, not just dream them up but actually build something useful. As I kept learning, I pushed myself to explore more advanced tech, especially when it comes to healthcare. I want my work to count for something that actually makes a difference.
About Your App
My app uses machine learning to look for early signs of Parkinson's disease by looking at small changes in voice patterns, such as tremors, pitch changes, and speech timing. It's meant for people who are at risk or in the early stages of the disease. It is a simple, non-invasive screening tool that can be used from a distance. The goal is to make it possible to diagnose and treat problems earlier, which is something that current clinical methods often miss. The app uses AI models trained on voice datasets and signal processing methods to find biomarkers that are linked to neurological decline.
Demo Video URL
https://www.youtube.com/watch?v=h3ghhaanUwc
City and State
Peoria, IL
Congressional District
IL-16
GitHub Repo
No response
Live App Link
No response
Thumbnail Image
Your Full Name
Kavi Praanesh
App Name
MeloCognia
One-Sentence Description
An AI-powered app that detects early signs of Parkinson’s disease through voice analysis
About You
I’m a high school student who’s really into biomedical innovation, machine learning, and finding ways to use tech to solve real problems. I like exploring medical research and thinking about how data and AI can make early detection and diagnosis better. I started coding because I wanted to bring my ideas to life, not just dream them up but actually build something useful. As I kept learning, I pushed myself to explore more advanced tech, especially when it comes to healthcare. I want my work to count for something that actually makes a difference.
About Your App
My app uses machine learning to look for early signs of Parkinson's disease by looking at small changes in voice patterns, such as tremors, pitch changes, and speech timing. It's meant for people who are at risk or in the early stages of the disease. It is a simple, non-invasive screening tool that can be used from a distance. The goal is to make it possible to diagnose and treat problems earlier, which is something that current clinical methods often miss. The app uses AI models trained on voice datasets and signal processing methods to find biomarkers that are linked to neurological decline.
Demo Video URL
https://www.youtube.com/watch?v=h3ghhaanUwc
City and State
Peoria, IL
Congressional District
IL-16
GitHub Repo
No response
Live App Link
No response
Thumbnail Image