Ecodefence: the demo

توضیحات بازی

Story: It is the year 2030. International climate negotiations have failed, biodiversity goals have been missed and technological solutions to the many increasing environmental crisis continue to be a pipe dream. A group of activists see no other sensible solution than to take it upon themselves to stop the murder of the planet. Not with petitions or marches, but with hammers and explosives aimed at the industrial megamachine. In this demo, the hero is tasked with sabotage against a chemical factory that is endangering the global food supply through wiping out bees. The player must infiltrate the facility and find a weakspot to sabotage, while avoiding the fully automated security systems. Inspiration: Deep Green Resistance: Strategy to Save the Planet - Book by Aric McBay, Derrick Jensen, and Lierre Keith How to Blow Up a Pipeline: Learning to Fight in a World on Fire - Book by Andreas Malm Features: A lovely arctic environment A basic factory layout to explore A forgiving gameplay difficulty Gorgeus explosions and fracturing Replay of the destruction Instructions: Mouse to look around WASD keys to move Space bar to jump/climb Left shift to run E to interact Escape to quit Disclamer: The game does not endorse violence against humans, other creatures or plants. This demo was made by two semi-professional developers in a week during the Houdini Game Jam 2021, and the following information relates specifically to the competition: How was Houdini used in making the game? All the factory models (cylindrical tank, spherical tank, smokestacks) and rigid body simulations were done inside Houdini (see included Assets.hiplc) Which game engine or platform did you use to make your game? Unreal Engine 5.0 List of everything that was made before the jam. Pre-built assets, textures, etc: - The environment assets were from Quixel megascans. - VFX assets were free Unreal marketpace assets - Most of the code for the enemy behavious was from Epic "Blueprint" example project - The player character was based on Advanced Locomotion System V4 which is availabe for free in the Unreal marketplace. - The robot dog was from BlendSwap: https://blendswap.com/blend/28028 - Sounds were gathered from public domain sites