Intimacy Habit Tracker enables users to build emotional and sexual self-care habits with streak tracking and upcoming Flow blockchain token rewards for motivation and privacy.
The Intimacy Habit Tracker is a web application designed to empower users in building and maintaining emotional and sexual self-care habits. Developed using Next.js and styled with Tailwind CSS, the app offers personalized habit tracking, daily completion monitoring, and streak visualization to motivate consistent self-care. The project is progressing towards full integration with the Flow blockchain, aiming to enhance user engagement by rewarding habit milestones with tokenized incentives via Flow’s decentralized platform. With a focus on privacy and motivation, this solution blends user-friendly design with cutting-edge blockchain technology to promote holistic wellness. The foundational frontend and authentication components are complete, and the next critical phase involves adding Flow network configuration and deploying smart contracts to enable seamless blockchain rewards. This hybrid approach leverages AI-assisted development for rapid prototyping while pioneering tokenized self-care rewards, positioning the app at the forefront of wellness innovation.
During the hackathon, significant milestones were achieved in rapidly prototyping and advancing the Intimacy Habit Tracker app. Leveraging AI-driven tools such as Lovable AI and Cursor AI accelerated the development process, enabling rapid full-stack scaffolding and initial blockchain integration code generation. The core habit tracking functionality including user authentication, habit CRUD operations, and streak visualization was fully implemented with responsive and accessible UI design. Additionally, foundational Flow blockchain integration components were scaffolded, including wallet connection hooks and Cadence smart contract templates. The remaining focus post-hackathon is to complete Flow network configuration, deploy smart contracts to Testnet, and finalize the token reward minting workflows. This progress showcases strong interdisciplinary collaboration and effective use of AI-assisted development tools to bridge technical gaps and push ambitious Web3-enabled wellness solutions within limited timeframes.