Project Title: AI-Controlled NPC for a Game using Unreal Engine (C++)

Project Summary
This project focuses on designing and implementing intelligent Non-Playable Characters (NPCs) in a 3D game environment using Unreal Engine and C++. These NPCs use artificial intelligence to interact with the player, navigate the game world, and respond dynamically to changing situations.

Core Components

Behavior Tree and Blackboard System

• Defines the decision-making process for NPCs using Unreal’s AI framework.
• The blackboard stores data (like player position or health), while the behavior tree dictates how the NPC reacts.

Perception System (AISense)

• NPCs detect players using sight and sound via UAIPerceptionComponent.
• Triggers behaviors like chasing, hiding, or calling for backup.

Navigation and Pathfinding

• NPCs use NavMesh to move through the environment.
• Pathfinding is handled by Unreal's AIController in C++.

State Machine in C++

• Defines AI states (Idle, Patrol, Alert, Attack, Flee).
• Transitions between states are managed through C++ logic based on game events.

Combat and Interaction Logic

• NPCs can attack the player, dodge, or use cover.
• Implemented with C++ for precise control and optimization.

Animation Integration

• NPC behavior is linked with animation blueprints (e.g., walking, aiming, attacking).
• Triggered through C++ or animation montages.

Dynamic Difficulty or Learning (Optional)

• Adjusts NPC behavior based on player performance.
• Basic machine learning logic or rule-based systems in C++.

Technologies Used

• Unreal Engine 5
• C++ (with Unreal APIs: AAIController, APawn, UBehaviorTreeComponent, etc.)
• Behavior Tree and Blackboard
• NavMesh and Pathfinding
• Perception System (AISense_Sight, AISense_Hearing)

Learning Outcomes

• Hands-on experience with AI programming in C++
• Understanding NPC design principles: logic, perception, and decision-making
• Integration of AI with animations and environment
• Mastery of Unreal Engine's AI tools and navigation system
• Application of object-oriented design for scalable AI systems

Possible Enhancements

• Add teamwork among NPCs (coordinated attacks or formations)
• Introduce stealth mechanics (line of sight, hiding detection)
• Create boss-level AI with advanced behavior layers
• Use reinforcement learning for adaptive AI
• Expand to include dialogue or quest-related behaviors