Built by Curiosity.
kAsteria began with a simple question: "What if Artificial Intelligence could explain its discoveries instead of simply making them?"
Just Two 17-Year-Old Students.
We didn't start in a laboratory or a tech hub. kAsteria was born in bedroom setups and high school libraries between lectures. Vishwajith and Aditya shared a singular obsession: the vast, untapped data of our galaxy.
While others saw spreadsheets of exoplanet coordinates as static numbers, we saw stories of distant worlds waiting to be translated. We spent months diving deep into astrophysical datasets, refining machine learning models until they didn't just predict, they communicated.
This isn't just an app; it's a piece of craftsmanship. Every line of code, every UI element, and every research paper referenced was chosen to bridge the gap between high-level science and human intuition.
The Minds Behind the Machine
FOUNDING TEAMVishwajith S.
AI Researcher & UX Lead
17-year-old AI researcher and SSRN published author. Focused on the intersection of mathematical elegance and intuitive interface design.
Aditya Mohapatra
System Architect & Backend
17-year-old student specializing in AI/ML and cybersecurity. Architect of the robust backend foundations that power kAsteria's real-time analysis.
Building kAsteria
TRANSPARENCY
We believe AI shouldn't be a black box. Our models are built to show their work, citing specific spectral data and gravitational metrics.
ACCESSIBILITY
Complex orbital mechanics shouldn't be reserved for Ph.Ds. kAsteria translates data into visual narratives that anyone can explore.
EDUCATION
Built by students, for the next generation of researchers. We prioritize clarity and learning over mere output.
Built for the India High School Exoplanet Data Challenge
A national platform recognizing excellence in computational astrophysics and data science at the high school level.
With deep gratitude to our mentor
Mr. Deepak Hardikar
For the guidance, technical rigor, and belief in our vision.
"The universe has always been full of answers. We simply wanted to make them easier to understand."
