Minimum time to finish project | Minimum Time to Complete All Tasks | Graph + DP + Topological Sort

URL: https://www.geeksforgeeks.org/problem... How do you find the minimum time required to complete a project when multiple tasks can run in parallel but have dependencies? 🚀 In this DSA tutorial, we'll solve the *Minimum Time to Complete All Modules* problem using **Graph Algorithms, Topological Sort (Kahn's Algorithm), and Dynamic Programming in JavaScript**. You'll learn: ✅ How to identify the critical path in a dependency graph ✅ Why the answer is the longest dependency path, not the sum of all durations ✅ How to calculate the earliest completion time using DP ✅ How to detect cycles in a directed graph ✅ How to solve the problem efficiently in O(V + E) time 📌 *Topics covered:* Graphs in JavaScript Topological Sorting Kahn's Algorithm (BFS) Dynamic Programming on DAGs Critical Path Method Cycle Detection in Directed Graphs DSA Interview Preparation *Time Complexity:* O(V + E) *Space Complexity:* O(V + E) If you're preparing for coding interviews and want to improve your problem-solving skills, watch the complete explanation and try implementing the solution yourself. 👍 Like the video if it helped you understand the approach. 💬 Comment below if you have questions or want me to explain another DSA problem. 🔔 Subscribe for more JavaScript DSA solutions and coding interview tutorials. #DSA #GraphAlgorithms #JavaScript #TopologicalSort #dynamicprogramming minimum time to complete project, minimum project completion time, DSA JavaScript, graph algorithms, topological sort, Kahn's algorithm, dynamic programming, critical path method, DAG longest path, cycle detection, graph problems, coding interview questions, JavaScript algorithms, GFG solution, data structures and algorithms