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In this video, we dive into LeetCode 253 - Meeting Rooms II, a premium LeetCode problem frequently asked in Microsoft interviews! This problem challenges us to determine the minimum number of meeting rooms required using an efficient Min-Heap (PriorityQueue) approach. 🔗https://github.com/jsherbert95/LeetCo... 🔍 Problem Breakdown: We are given a list of meeting time intervals, each with a start and end time. Our task is to determine how many meeting rooms are needed to accommodate all meetings without conflicts. 💡 Key Takeaways: This is a premium LeetCode problem often asked in Microsoft interviews. It tests knowledge of sorting, heaps (priority queues), and greedy algorithms. We aim to solve it in O(N log N) time complexity using a Min-Heap. 🛠 Approach & Logical Breakdown: ✅ Step 1: Sort the intervals by their start time. ✅ Step 2: Use a Min-Heap (PriorityQueue) to track meeting end times. ✅ Step 3: Iterate through meetings: If a meeting room is free (earliest ending meeting is done), reuse it. Otherwise, allocate a new room and add the meeting's end time to the heap. ✅ Step 4: The size of the heap at the end represents the minimum number of rooms required. ⏳ Complexity Analysis: Sorting the intervals: O(N log N) Heap operations (insertion/removal): O(N log N) Overall Time Complexity: O(N log N) Space Complexity: O(N) (for the heap storing meeting end times) 📌 Why This is an Important Microsoft Interview Question? 🔹 Microsoft loves scheduling problems since they test greedy algorithms and heap-based optimizations. 🔹 It evaluates your ability to manage overlapping events efficiently in a real-world scenario. 🔹 Understanding sorting and heap operations is crucial for system design & scalability. 📂 Code Implementation: Check out the full code on my GitHub: 🔗 https://github.com/jsherbert95/LeetCo... My LeetCode Profile: 🔗 https://leetcode.com/u/jsherbert95/ 🔔 Subscribe for more in-depth LeetCode explanations and FAANG interview prep! 🚀