HabitHero

Problem Statement

HeroHabit is a Web3-based habit tracking platform that makes building habits rewarding, fun, and futuristic. Instead of just checking off streaks, users earn interactive NFTs (iNFTs) that evolve as they stay consistent.Key points:Habit Tracking Made Engaging – Users log daily habits, track streaks, and visualize progress.iNFT Rewards – Each habit is tied to a unique NFT that evolves with the user’s streaks, becoming rarer and more valuable the longer they stay consistent.Web3 Integration – On-chain proof of consistency, with iNFTs minted and stored securely.AI Layer – Provides personalized insights, habit recommendations, and streak analysis in one click.Gamification – Rewards, levels, and NFT evolution make habit-building feel like a game.Community & Social Layer – Users can share streaks, compete with friends, and showcase evolving iNFTs as digital identity.Scalable Vision – Starts as a habit tracker, but lays the foundation for on-chain reputation, productivity DAOs, and cross-platform rewards.

Solution

Intent: Build a decentralized habit-reward system that mints evolving iNFTs as verifiable proof of consistent behavior.High-level architecture: Frontend ↔ Backend (off-chain verification) ↔ IPFS (storage) ↔ Flow blockchain (minting & ownership).Storage: All media and versioned metadata (including AI-generated state) are persisted on IPFS as immutable CIDs.Minting: iNFTs are minted on Flow; each token’s metadata URI references the IPFS CID that encodes current state.Smart-contract logic: Cadence contracts enforce milestone rules, ownership, and transfer; metadata evolution is handled via new IPFS CIDs referenced by the contract or registry.Off-chain attestation: Backend verifies habit proofs, signs attestations, and pushes metadata updates — keeping heavy computation off-chain to save gas.Standards & security: Contract patterns and threat models were validated using Ethereum Foundation best-practices (access control, auditability, gas-conscious design).Versioning strategy: Metadata is immutable; evolution is achieved by publishing new metadata CIDs and updating the canonical pointer (on-chain registry or event mapping).Testing & CI: Unit and integration tests on testnets, automated CI for contract deployment and metadata publishing to ensure reproducibility.Modularity & future-proofing: Contracts and metadata schemas are modular to support cross-chain adapters, richer AI state, and off-chain reputation systems later.