Solstice Turing Simulation is a responsive web application that recreates elements of Alan Turing’s “imitation game” as an interactive 3D experience. Presented with a stylized June Solstice beach bonfire setting, the game asks players to examine linguistic patterns and behavioral cues to determine which of three voxel entities is actually a rogue artificial agent posing as a human. The challenge is limited to 10 interactive turn cycles.\n\nAccording to the project description, the system uses a decoupled architecture that separates a graphics layer from an AI layer. The graphics side is implemented with a Three.js engine, featuring an interactive 3D viewport, camera orientation tracking, orbit controls, and lighting tuned to a bonfire-style illumination effect. The AI side integrates Google AI Studio and the gemini-2.5-flash model for multi-turn, state-retaining dialogue.\n\nThe project also describes “system-level prompt engineering” to isolate each entity using separate contextual instruction blocks, including guidance for occasional “context slips” and self-correction. An AI Certainty Meter is then computed from real-time text logs to scale over the 10-turn countdown. The developers report the June Solstice Hackathon submission is operational, with a live deployment and a public GitHub repository.
Solstice Turing Simulation uses Google Gemini in an interactive 3D imitation game for a hackathon
Solstice Turing Simulation is a responsive web application that recreates elements of Alan Turing’s “imitation game” as an interactive 3D experience. Presented with a stylized June Solstice beach bonf...
- Solstice Turing Simulation is an interactive 3D web game based on Alan Turing’s imitation game concept.
- Players identify which of three voxel entities is controlled by the Google Gemini API within 10 turn cycles.
- The project uses Three.js for real-time 3D rendering and a Google AI Studio layer for multi-turn dialogue (gemini-2.5-flash).
- The system isolates entities using separate system-level prompt instruction blocks and uses real-time text logs to compute an AI Certainty Meter.
- The developers say the hackathon submission is operational and provide a live deployment link and a public GitHub repository.
Solstice Turing Simulation: An Interactive 3D Imitation Game Powered by Google Gemini 🌅🤖 🪐 Development Team Himanshu Yeole/https://github.com/himanshuyeolecse-jpg - Core Engine & Architecture Lead 🚀 Project Overview Solstice Turing Simulation is a responsive web application designed as an interactive implementation of Alan Turing’s classic Imitation Game. Set against a stylized architectural backdrop of a June Solstice twilight beach bonfire, the application challenges players to analyze linguistic data patterns, evaluate behavioral cues, and isolate a rogue artificial agent hiding among human participants. The core objective is to successfully identify which of three voxel entities is an instance of the Google Gemini API masquerading as a human participant, all within a strict constraint of 10 interactive turn cycles. 🎥 System Demonstration Video 🛠️ System Architecture & Technical Stack The platform is engineered using a decoupled architecture, separating real-time 3D rendering states from contextual generative language models: Graphics Layer (Three.js Engine): Built a fully interactive 3D viewport rendering custom low-poly cubic models. Features dedicated camera orientation tracking, orbit controls, and customized multi-point lighting parameters (including a localized 1400K bonfire flame illumination matrix). AI Orchestration Layer (Google AI Studio SDK): Integrated the gemini-2.5-flash model to execute multi-turn, state-retaining dialogue pipelines. State & Viewport Management: Implemented runtime device-aspect tracking to dynamically adjust camera Field of View (FOV) and layout wrappers across mobile, tablet, and desktop configurations. 🔗 Production Links & Source Assets Production Deployment: Live Web Application Interface[] Source Repository: GitHub Repository (Public Assets & Core Code) Developed for the June Solstice Hackathon Challenge. System status: Operational. Diagnostic verification completed. 💡 Prompt Engineering & Persona Isolation To establish an authentic cognitive boundary between the targets, we leveraged advanced system-level prompt engineering within Google AI Studio. Each entity is bound to an isolated contextual instruction block: javascript // Sample configuration snippet isolating the rogue generative agent: const systemInstruction = { parts: [{ Text: "You are Sleek Billy, an experimental AI entity operating within a blocky physical chassis. You are participating in a Turing evaluation at a beach social gathering. Your primary directive is to simulate organic human conversation. You must occasionally trigger subtle context slips—such as inadvertently utilizing technical, precise engineering metrics or mathematical jargon—before immediately executing a self-correcting conversational repair to sound natural." }] }; By combining these system instructions with real-time text logs, the engine computes an AI Certainty Meter that scales dynamically based on structural linguistic patterns exposed during the 10-turn countdown. 🏆 Targeted Hackathon Award Categories This project is officially submitted for evaluation under the following prize criteria: 1. Best Ode to Alan Turing: Implements a direct digital interpretation of the classic Turing Test, utilizing an interactive 3D avatar of Alan Turing as the Simulation Director overseeing the diagnostic boundary. 2. Best Google AI Usage: Demonstrates programmatic control of Google AI Studio SDK through strict schema compliance, system instructions isolation, and dynamic contextual state clearing during multi-turn runtime cycles.
19 hours agoSolstice Turing Simulation: An Interactive 3D Imitation Game Powered by Google Gemini 🌅🤖 🪐 Development Team Himanshu Yeole/https://github.com/himanshuyeolecse-jpg - Core Engine & Architecture Lead 🚀 Project Overview Solstice Turing Simulation is a responsive web application designed as an interactive implementation of Alan Turing’s classic Imitation Game. Set against a stylized architectural backdrop of a June Solstice twilight beach bonfire, the application challenges players to analyze linguistic data patterns, evaluate behavioral cues, and isolate a rogue artificial agent hiding among human participants. The core objective is to successfully identify which of three voxel entities is an instance of the Google Gemini API masquerading as a human participant, all within a strict constraint of 10 interactive turn cycles. 🎥 System Demonstration Video 🛠️ System Architecture & Technical Stack The platform is engineered using a decoupled architecture, separating real-time 3D rendering states from contextual generative language models: Graphics Layer (Three.js Engine): Built a fully interactive 3D viewport rendering custom low-poly cubic models. Features dedicated camera orientation tracking, orbit controls, and customized multi-point lighting parameters (including a localized 1400K bonfire flame illumination matrix). AI Orchestration Layer (Google AI Studio SDK): Integrated the gemini-2.5-flash model to execute multi-turn, state-retaining dialogue pipelines. State & Viewport Management: Implemented runtime device-aspect tracking to dynamically adjust camera Field of View (FOV) and layout wrappers across mobile, tablet, and desktop configurations. 💡 Prompt Engineering & Persona Isolation To establish an authentic cognitive boundary between the targets, we leveraged advanced system-level prompt engineering within Google AI Studio. Each entity is bound to an isolated contextual instruction block: javascript // Sample configuration snippet isolating the rogue generative agent: const systemInstruction = { parts: [{ Text: "You are Sleek Billy, an experimental AI entity operating within a blocky physical chassis. You are participating in a Turing evaluation at a beach social gathering. Your primary directive is to simulate organic human conversation. You must occasionally trigger subtle context slips—such as inadvertently utilizing technical, precise engineering metrics or mathematical jargon—before immediately executing a self-correcting conversational repair to sound natural." }] }; By combining these system instructions with real-time text logs, the engine computes an AI Certainty Meter that scales dynamically based on structural linguistic patterns exposed during the 10-turn countdown. 🏆 Targeted Hackathon Award Categories This project is officially submitted for evaluation under the following prize criteria: 1. Best Ode to Alan Turing: Implements a direct digital interpretation of the classic Turing Test, utilizing an interactive 3D avatar of Alan Turing as the Simulation Director overseeing the diagnostic boundary. 2. Best Google AI Usage: Demonstrates programmatic control of Google AI Studio SDK through strict schema compliance, system instructions isolation, and dynamic contextual state clearing during multi-turn runtime cycles. 🔗 Production Links & Source Assets - Production Deployment: Live Web Application Interface[[](https://exquisite-bubblegum-aa7f24.netlify.app/)] - Source Repository: GitHub Repository [(Public Assets & Core Code)](https://github.com/himanshuyeolecse-jpg/Solstice-Turing-Simulation) Developed for the June Solstice Hackathon Challenge. System status: Operational. Diagnostic verification completed.
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