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In this video, I'll be solving LeetCode problem number 703, titled "Kth Largest Element in a Stream." This problem is classified as an Easy level problem, and it involves efficiently finding the kth largest element in a dynamic stream of numbers. The solution requires an understanding of heaps (priority queues) to maintain the kth largest element as new numbers are added. I'll walk you through the entire solution, starting with a clear problem definition, explaining the heap-based approach, and then moving on to the actual implementation in Java. We'll explore how to use a min-heap to keep track of the kth largest element and manage the stream of numbers in an optimized manner. If you're preparing for coding interviews, this problem is a great example to understand how to apply heaps in real-world scenarios and how to efficiently handle dynamic data in algorithms. By the end of this video, you’ll have a solid grasp of how to solve such problems and be better equipped for your coding interviews. Don’t forget to subscribe to LeetQuest for more in-depth LeetCode problem solutions and programming tutorials. Thank you for watching, and happy coding! 🔔 Subscribe for more coding tutorials: / @leetquest 📌 LeetCode Problem Link: https://leetcode.com/problems/kth-lar... 💬 Connect with me: LinkedIn: / meshv-patel Instagram: https://www.instagram.com/badmazzz._?... GitHub: https://github.com/badmazzz 🕒 Timestamps: 0:00 Introduction 0:19 Problem Statement 1:24 Example 4:37 Algorithm 8:10 Code Explanation 11:03 Outro Thank you for watching! Let me know in the comments if you have any questions or suggestions for future videos. #LeetCode #KthLargestElement #CodingInterview #Heap #MinHeap #PriorityQueue #Programming #DataStructures #LeetQuest #LeetCode703 #CodingChallenge #JavaProgramming #DSA #InterviewPreparation #StreamProcessing #SoftwareEngineering #CodingTips #AdvancedAlgorithms #CodingInterviewTips #ProgrammingInterviewQuestions #LeetQuest #MeshvPatel #HeapAlgorithm #CompetitiveProgramming #LearnToCode #SoftwareEngineering #TechnicalInterviews #ComputerScience