Class 12 student with interests in:
- Artificial Intelligence
- Computational Physics
- Computer Science
- Mathematics
Computational Analysis of Newtonian vs Relativistic Gravitational Potentials: Error Quantification and Machine Learning Approximations
Independent research project combining:
- Analytical gravitational physics
- Computational modelling
- Numerical error analysis
- Machine learning regression techniques
The project investigates the limitations of Newtonian gravity by comparing it with a static relativistic gravitational potential model and explores the use of machine learning for predicting relativistic corrections.
Repository: https://github.com/Dev-Aayush-Kumar/computational-gravity-ml
Currently exploring the intersection of Artificial Intelligence with multiple fields such as physics(scientific computing) and e-commerce(next planned project under progress).