HeyArya! HeyArya!
About AI Lab
Founder

Aryaman Chandra

10K+
Lines of Code
5
Languages Mastered
5000+
Future Students

My Vision & Inspiration

Inspiration

Inspired by Richard Feynman's unique ability to make complex ideas accessible through intuitive explanations. His teaching philosophy of truly understanding rather than memorizing is the foundation of HeyArya!.

Mission

To revolutionize how students learn complex subjects by creating an AI that explains concepts with the clarity and insight of Richard Feynman, making physics and mathematics more accessible to everyone.

Goal

Build an educational platform that adapts to each learner's needs, providing personalized explanations that foster genuine understanding rather than rote memorization, creating a new generation of thinkers.

My Story

The journey of HeyArya! began with a simple question: "What if we could teach physics and math the way Feynman would?"

As a lifelong student of mathematics and physics, I've always been fascinated by Richard Feynman's ability to make complex concepts accessible through clear, intuitive explanations. Traditional education often emphasizes memorization over understanding, missing the beauty and insight that make these subjects truly powerful.

With HeyArya!, I'm building a bridge between complex theoretical knowledge and intuitive understanding. By leveraging cutting-edge artificial intelligence and a deep appreciation for Feynman's explanatory techniques, we're creating learning experiences that prioritize concept mastery over rote memorization.

My goal is to help students see these subjects not as collections of formulas to memorize, but as fascinating puzzles to be understood at a fundamental level. Just as Feynman could break down quantum mechanics into relatable stories, HeyArya! transforms abstract concepts into clear, engaging explanations.

Skills & Technologies

Programming

Python 95%
JavaScript 85%
Git 50%

Web Development

Flask 90%
HTML/CSS 80%
70%

AI & ML

LLM 95%
PyTorch 85%
TensorFlow 80%

Tools & Frameworks

VSCode Git Docker Render Google Cloud Jupyter Pandas NumPy Gemini API Bootstrap

Development Roadmap

Phase 1: Web Platform

Launched with adaptive learning modules

Phase 2: Mobile Access

Currently in development

Phase 3: Nationwide Movement

Targeting 2025 launch