📚 Documentation

Full project documentation is available at:
🔗 https://raymondmaarloeve.github.io/RaymondMaarloeve/

🔻 We have added a launcher for the game, available at:
🔗 https://github.com/RaymondMaarloeve/RaymondMaarloeveLauncher
All instructions related to the launcher can be found on that page.

🧠 We have also created a separate repository for the server responsible for handling our LLMs:
🔗 https://github.com/RaymondMaarloeve/LLMServer

📄 Description

The project we are working on is a computer game in which artificial intelligence (AI) plays a key role. Its main feature is a dynamic world where non-player characters (NPCs) have their own personalities, daily schedules, and the ability to react to player actions. Thanks to AI, each gameplay session is unique, and NPC behavior influences both the storyline and the player's decisions.

What sets this game apart is the lack of traditional, rigid scripting for events. Instead, the game world develops organically, and interactions between NPCs and the player determine the course of the detective investigation, which is the central element of the gameplay. Procedurally generated environments and complex NPC decision-making systems make each game session a unique experience.

Whether you're on Windows or Linux, the game runs seamlessly, so you can enjoy the experience regardless of your operating system.

⚙️ Technology Stack

Game Engine: Unity 6 (6000.0.38f1) + C#
Artificial Intelligence:
- Large Language Model (LLM), pathfinding with NavMesh
- We use Llama 3.2 3B Instruct for all in-game LLM-driven behaviors, including NPC dialogue and decision-making.
Graphics:
- Kenney Fantasy UI
- Free Medieval 3D People Low Poly Pack
- CC0 Terrain Textures
- Free assets (Itch.io Free Assets)
Audio:
- Foot Steps
CraftPix 3D Models:

🧑‍💻 Team

Leader: Cyprian Zasada
Deputy Leader: Marek Nijakowski
Team Members:
- Paweł Reich
- Paweł Dolak
- Maciej Pitucha
- Maciej Włudarski
- Karol Rzepiński
- Kamil Włodarczyk
- Łukasz Jastrzębski
- Michał Eisler
- Łukasz Czarzasty

🎮 Assumptions

🕹️ Gameplay

Game Objective:
The player takes on the role of a detective investigating a murder case in a small NPC community. The investigation is based on analyzing clues and conversing with AI-controlled NPCs. In the end, the player reconstructs the sequence of events, determining their success or failure.
Success Metrics:
- The game allows free world exploration and interactions with NPCs.
- There are at least two sources of clues (e.g., NPC conversations + physical evidence).
- The player can present their theory in the game's finale through an interactive sequence-building system.

🧍 NPC Characters

Behavior:
NPCs have unique personalities, daily schedules, and the ability to dynamically react to player actions.
Success Metrics:
- Minimum number of NPCs: 6, target: 10
- NPCs generate responses and make decisions using LLM
- NPCs can dynamically change their routes in response to player interactions (eventually, also in response to interactions with other NPCs)

🗺️ Map

Appearance:
Each NPC in the game has their own home, and their placement is procedurally generated.

🎯 Development Goals

👨‍🔧 Task Distribution

Unity:

Paweł Reich
Marek Nijakowski
Paweł Dolak

LLM:

Maciej Pitucha
Maciej Włudarski
Karol Rzepiński
Kamil Włodarczyk
Łukasz Jastrzębski
Michał Eisler
Łukasz Czarzasty

📍 Milestones

1st Milestone – Game Prototype (without LLM)

A game base exists where characters move around
NPC actions are taken randomly or follow predefined patterns

2nd Milestone – LLM Integration with Unity

A day and night system is introduced
The dataset contains 50% of the intended prompts

3rd Milestone – Final Touches

Main menu
Soundtrack
Credits
Fine-tuning of the LLM model completed

🗓️ Task Schedule

📌 Gantt Schedule (polish language)