aimax

ZeroSmokeWay turns reflection about smoking into a personal conversation. I’m 43 and have smoked for over 20 years, with breaks. Allen Carr’s book once helped me stop for more than two years. After returning to smoking, rereading it no longer answered all my questions. I wanted a way to explore my own story—and have support available afterwards. The mobile-first experience combines 15 short cinematic scenes across four acts with personalized conversations powered by Meta AI. Each scene explores a different part of smoking: how it started, daily rituals, perceived benefits, fears about quitting, and readiness to stop. The dialogue goes beyond a fixed questionnaire. Scene-specific instructions, persistent memory, and structured routing help the model follow the person’s words, retain corrections, explore unresolved concerns, and offer progression separately from the user’s agreement. Users do not have to stop smoking before beginning. After confirming their last-cigarette time, users enter a light, everyday dashboard with a smoke-free timer, savings estimates, sourced health milestones, and ongoing AI conversations informed by their earlier story. Built with React, TypeScript, Vite, Node.js, Supabase, Vercel, and Meta Model API. The repository predates the hackathon. The submitted cinematic journey, dialogue system, memory, and post-quit experience were developed during the event; prior work is disclosed in the README and submission notes. This is a working prototype inspired by personal experience, not a clinically validated treatment. Try it: https://www.zerosmokeway.life/ Three-minute demo: https://youtu.be/4fCHfgi8CLM