Create your own puzzle game based on this complete template game, sort, merge, match puzzle with customizable assets and easy level creation with level editorSoda Pack Jam 3D is a unity game template and complete game project for a casualmobile puzzle game. players drag soda trays onto a grid. trays that touch sort and merge thier cans into sets of 6 to fill each level's objective. it comes with a playable cat cafe theme sample, grid-based puzzle gameplay and a level editor, so you can use it as a starting point for a mobile game, reskin, a jam game or rapid prototyping.Features:- Level Editor for grid size, cell types with boxes, starting trays, objectives soda types and random tray fillers.- scriptableObject (SO) settings for grid rules, tray movement, spawn pacing, merge timing and feedback.- Game feel from animations, particle effects, sounds.- Asset swap for objective icons and visuals and give it your favorite look and push your creativity.- Level data, level prefabs and unity editor tooling for level design and creationit suit hypercasual and hybrid casual developers, indie studios and solo developers working on game developement experiment, learning, or prototyping.Technical notes:- URP and Unity GUI, added from the package manifist. the input system is optional.- No Third-party plugins or content.- Documentation included.- Unity 6.3 or newer, tested on 6.3.23f1 and 6.6.7f1Support:Email: Saydon.Games@gmail.comI reply within 24 to 48 hours.Render pipeline: URP only (Built-in and HDRP not supported).Dependencies (package manifest, Unity Registry): com.unity.render-pipelines.universal , com.unity.ugui . No Asset Store or third-party dependencies.Audio: 11 sound effectsCode: 54 C# scriptsFont: Unity's built-in font (no font file included).Documentation: Documentation/index.html (offline).Tested: Unity 6000.3.23f1 and 6000.6.7f1, Editor Play mode and a Windows build.Artificial intelligence tools were used during the creation of this package.Art: AI tools were used to generate base 2D artwork and assist with 3D asset creation, all of which was manually refined and adjusted to meet visual and technical requirements.Coding: AI-assisted code generation tools, including GPT-based models and Claude, were used to help draft portions of the code. All code was manually reviewed, modified, tested, and integrated to ensure correctness, performance, and compatibility.
