Problem Solving in AI Using Search

🚀 **Problem Solving Using Search (Unit 2) | MCA AI Explained in Hinglish** Is video mein hum **Artificial Intelligence ke Unit 2: Problem Solving Using Search** ko simple Hinglish mein samjhenge. Agar aap MCA student ho ya AI subject padh rahe ho, toh yeh video aapke liye perfect hai — especially exam preparation ke liye. 📌 **Is video mein kya cover kiya gaya hai:** * Problem Solving in AI (basic concept) * State Space, Initial State, Goal State * Components of Search Problem * Uninformed Search Algorithms: * Breadth First Search (BFS) * Depth First Search (DFS) * Uniform Cost Search * Informed Search Algorithms: * Heuristic Function * Greedy Best First Search * A* Algorithm * Important Formula: * f(n) = g(n) + h(n) * BFS vs DFS Comparison (Exam important) * Real-world applications: * Google Maps navigation * Game AI (Chess) * Robotics path planning * Important exam questions + quick revision 🎯 **Why watch this video?** * Simple Hinglish explanation * Clean diagrams & animations * Focused on IGNOU MCA syllabus (Unit 2 only) * Exam-oriented content 🧠 **Perfect for:** * MCA Students (IGNOU & others) * AI beginners * Competitive exam aspirants --- ⏱️ **Timestamps:** 00:00 Hook (Google Maps example) 00:20 Introduction to Problem Solving 01:30 Components of Search 03:00 Uninformed Search (BFS, DFS) 05:00 Informed Search (Heuristic, A*) 06:30 Formula Explanation 07:00 Comparison (BFS vs DFS) 08:00 Applications 08:40 Exam Questions 09:30 Quick Revision --- 📚 **Keywords:** AI Unit 2, Problem Solving Using Search, BFS DFS A*, Heuristic, MCA AI, IGNOU MCA, Search Algorithms --- 👍 Like | Share | Subscribe for more MCA & AI content