September 21st, 2024

Formula 1 racing is an exciting sport that depends on split-second decisions and smart strategy. As a huge fan who has been watching F1 since the close Mercedes-Ferrari battles in 2018, I became fascinated by how teams use technology and data to optimize their performance. This led me to explore whether recent AI developments could help make perfect strategy decisions during a Grand Prix, considering multiple factors. In this blog, I'll share how I used Deep Reinforcement Learning to create an AI system that can learn and adapt race strategies in real-time, just like the best human strategists.

July 9th, 2024

A detailed analysis of searching algorithms including Linear Search and Binary Search, exploring their principles, implementations, and performance in terms of time and space complexity. This guide offers clear examples, comparisons and LeetCode problems to help you understand which algorithm is best suited for different scenarios, making it easier to choose the most efficient search method for your needs.

May 29th, 2024

The detailed analysis and comparison of various sorting algorithms including Selection Sort, Bubble Sort, Insertion Sort, Quick Sort, Merge Sort, and Heap Sort, along with their time and space complexities, to determine the most efficient algorithm for your needs.