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Interactive real-time black hole simulation with gravitational lensing and accretion disk physics. Built with React, TypeScript, Three.js, and WebGL shaders for educational visualization of relativistic effects.
Detection of craters on planetary surface is very crucial for the better understanding of planet topography. It is also important for the selection of landing sites of various lander mission, path planning for rover missions. This project is about application of deep learning method for detection and semantic segmentation of craters in an image.
Wavelet analysis of CMAM upper-atmospheric temperature perturbations and solar F10.7 flux to investigate periodic variability and compare their time-frequency characteristics.
This repository contains my capstone project for the IBM Data Science and Machine Learning Professional Certificate program. The project showcases my skills in data science and machine learning, including data collection, preprocessing, analysis, and modelling. The goal of the project is to solve a real-world problem using data-driven techniques.
AI-Driven Collision Risk Assessment and Orchestration System for Mega-Constellation Satellites. A physics-plus-AI decision-support platform that ingests satellite and debris tracking data, computes conjunction risk using both classical orbital mechanics and machine learning, explains each alert's reasoning, prioritizes.