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🚦 Dijkstra’s Algorithm in Action — From Code to Clarity! Ever wondered how navigation apps find the fastest route? In this part, we code the magic behind it — Dijkstra’s Algorithm — and bring our graph to life with full path tracing and detailed visualization logic. Let’s make shortest paths truly smart! 💡 Welcome back to the Shortest Path Finding Series! In this part, we finally bring everything together and implement the Dijkstra’s Algorithm in C++ from scratch 🚀 We also add several utility functions that make our graph system smarter and more modular, including: -findNodeIndex() — find nodes by label -findEdgeIndex() — find the edge between two nodes -findMinimumDistanceNeighbourIndex() — get the closest unvisited node -checkDuplicate() — keep your node lists clean -tracePath() — print the complete shortest route step-by-step At the end, we run the full Dijkstra shortest path algorithm, allowing you to input a starting city and destination city, and choose between a summary or a detailed route trace. 🧠 What You’ll Learn -How to implement Dijkstra’s Algorithm in C++ from scratch -How to use classes and vectors to build a real-world graph -How to trace paths and display the complete route -How to make your program modular and beginner-friendly 💬 Try It Yourself Create your own cities.txt file and experiment with different routes and distances. Example: "A" "B" R1 2 "B" "C" R2 4 "C" "D" R3 3 📘 Source Code Complete source code available on my GitHub https://github.com/mni007nomi/Dijkstr... 🔔 Subscribe for More! If you found this video helpful, Like 👍, Share 💬, and Subscribe 🔔 to mniCodingAxis for more C++ tutorials, DSA projects, and algorithm visualizations!