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TravelTrust

An AI & Oracle-Driven Verifiable Travel Review Data Asset Protocol on Mantle

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Pila tecnológica

Web3
Ethers
Python
Solidity
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Descripción

# TrustTravel

An AI & Oracle-Driven Verifiable Travel Review Data Asset Protocol on Mantle

## Problem

### 1. Tourism reviews lack trust guarantees

* Reviews on traditional platforms can be deleted, manipulated, or incentivized

* Users and third parties cannot verify authenticity or completeness

### 2. AI-generated summaries operate as black boxes

* AI summaries rely on centralized, opaque datasets

* AI inputs cannot be audited for completeness or bias

### 3. Content-based data cannot be assetized

* Text reviews and AI outputs are hard to tokenize or manage on-chain

* No automated pipeline for content data asset management

## Solution

### Core Idea

Build an irreversible Review → LLM → Oracle → On-chain Asset pipeline on Mantle

### On-chain / Off-chain Data Asset Pipeline

#### (1) Reviews as On-chain Primitives

Users submit attraction reviews, which are stored (or hashed) directly on Mantle as immutable data primitives for AI processing and assetization.

#### (2) AI Agent Quality Control

LLM-based AI agents perform denoising, anti-fraud detection, and quality scoring, producing structured verification outputs.

#### (3) Oracle-based Adjudication

Oracles submit AI verification results on-chain, triggering smart contracts to validate reviews and distribute token incentives.

#### (4) AI Summary Asset Generation

Oracles monitor verified review sets and periodically trigger AI agents to generate time-based summaries, packaged with review hash arrays as structured on-chain data assets.

#### (5) Verifiable Frontend Consumption

The frontend consumes only on-chain data, allowing anyone to independently verify review sets and AI inputs.

## Business Model

### Users (Data Producers)

Verified reviews earn tokens, which can be used for user level upgrades, advanced analytics, and attraction coupon redemptions.

### Consumer Side

Users can view raw on-chain reviews, compare historical AI summaries, and receive NFTs after coupon redemption.

### B-side (Data Buyers)

* Verifiable Data API Procurement

Attraction operators and OTAs purchase token-settled APIs for verifiable reviews and AI-generated summaries.

* Decoupling of Data and Commercial Display

Promotional exposure (carousel, coupons) is strictly decoupled from review data and AI logic, ensuring data integrity.

## Roadmap

### Phase 1|Hackathon MVP

Core review, oracle contracts, AI verification, and verifiable UI on Mantle.

### Phase 2|Automation Upgrade

Automated AI agents, multi-phase summary assets, and standardized data schemas.

### Phase 3|Data Asset Expansion

Commercial APIs, content-based data assets, and cross-protocol integrations.

## One-line Pitch

TrustTravel uses AI agents and oracles on Mantle to transform travel reviews into verifiable, traceable, and tradable on-chain data assets.

Estado de recaudación de fondos

Angel Investment
Líder del equipo
LLey Yi
Enlace del proyecto
Sector
AISocialFi