Building the Future of Trust: I On You Reviews

In a time where digital trust is paramount, the development of a robust review and reputation system is not just innovative—it's essential. Leveraging the decentralized social network Farcaster, we are excited to unveil our vision for a new kind of review platform, one that gives users ownership of their data and ensures the immutability of their voices through blockchain technology. Here’s a deep dive into the architecture and the meticulous planning behind this groundbreaking application.

A Little Background

How do we best align users with companies who share their values and goals? Through transparency and trust. How do we build trust? With supplying users with accurate data - so our users can make better informed decisions to form their opinions. For this reason we have created the I On You Search Query, which triggers an API call off chain to gather empirical data on businesses and services. And we coupled that with a review system which incentives business with an ad token. Let’s dig into it.

Our application is designed to harness the power of decentralization to create a fair and transparent review system. Built on Farcaster, the app allows users to post reviews that are immutable and stored on-chain, providing a layer of trust and transparency previously unseen in review platforms. Users retain ownership of their data, and companies are incentivized to address reviews through an innovative advertising token system. Additionally, the app integrates with off-chain AI APIs to provide users with comprehensive information about companies within our ecosystem.

Let’s get technical

Requirements

We’ve carefully outlined the requirements for this application using the MoSCoW prioritization method:

Must Have:

• User authentication and authorization integrated with Farcaster.

• Capability for users to post immutable on-chain reviews.

• Mechanisms for users to maintain ownership of their data.

• Incentive system using advertising tokens for companies to address reviews.

• API integration for querying off-chain AI to gather company information.

• High-level security measures to protect user data and privacy.

Should Have:

• User-friendly interface for posting reviews and querying information.

• Notification system to alert companies of new reviews.

• Analytics dashboard for companies to track reviews and responses.

• Multi-language support for global reach.

Could Have:

• Mobile application support.

• Integration with other social media platforms.

• Advanced filtering and search options for reviews.

• Gamification elements to encourage user participation.

Won't Have:

• In-app messaging system (initial release).

• Direct financial transactions between users and companies.

Method

The architecture of our app is both comprehensive and detailed, designed to ensure scalability, security, and user satisfaction. Here’s a breakdown of our approach:

Architecture Overview

Frontend Application: The user interface for posting reviews, querying information, and interacting with the platform.

Backend Services: APIs to handle user authentication, review posting, data retrieval, and AI integration.

Blockchain Layer: Ensuring immutability and ownership of user reviews.

AI Integration Layer: API calls to off-chain AI services for gathering company information.

Security and Privacy Layer: Ensuring data integrity and user privacy.

Database Schema

We’ve designed a comprehensive database schema to ensure efficient data storage and retrieval. Key tables include:

• Users Table: Storing user credentials and profile information.

• Reviews Table: Holding review details, ratings, and on-chain hashes.

• Companies Table: Containing company profiles and descriptions.

Algorithms

Posting a Review: From user authentication to data encryption and blockchain interaction, our algorithm ensures that reviews are securely stored and immutable.

• Querying AI API: Users can query information seamlessly, with the AI query service fetching and processing data efficiently.

Security and Privacy

We prioritize security and privacy, employing strong encryption, role-based access control, and compliance with data protection regulations.

Implementation

Our implementation strategy is structured into clear, actionable steps:

1. Setting Up the Development Environment: From version control setup to choosing development tools and frameworks, we ensure a solid foundation.

2. Developing the Frontend Application: User interfaces for review posting and querying AI are built with a focus on usability and seamless API integration.

3. Developing the Backend Services: Robust backend services handle user authentication, review management, and AI queries.

4. Developing the Blockchain Layer: Smart contracts in Solidity ensure review immutability and token incentives.

5. Implementing Security and Privacy Measures: Encryption services and access controls protect user data.

6. Testing and Quality Assurance: Comprehensive testing ensures reliability and performance.

7. Deployment and Monitoring: CI/CD pipelines, monitoring tools, and centralized logging ensure smooth deployment and ongoing system health.

8. Documentation and User Training: Comprehensive technical and user documentation, along with training sessions, ensure readiness for launch.

Milestones

Our project is structured into key milestones to ensure systematic progress:

1. 1. Project Initiation and Planning

2. Frontend Application Development

3. Backend Services Development

4. Blockchain Layer Implementation

5. Security and Privacy Implementation

6. Testing and Quality Assurance

7. Deployment and Monitoring

8. Documentation and User Training

9. Beta Release and User Feedback

10. Final Release and Post-Launch Support

Gathering Results

To ensure our application meets its goals, we will conduct thorough evaluations:

• Functional Evaluation: Verify user authentication, review management, data ownership, incentive mechanisms, and AI query functionality.

• Non-Functional Evaluation: Assess security, performance, usability, and reliability.

• Post-Production Monitoring: Use monitoring tools and gather user feedback for continuous improvement.

• Success Metrics: Measure user engagement, review response rates, AI query effectiveness, and performance benchmarks.

• Final Evaluation Report: Compile findings, provide recommendations, and present to stakeholders.

MyConclusion

We are thrilled to bring this ambitious project to life. By combining the power of decentralization with cutting-edge technology, we aim to build a platform that truly disrupts how reviews and reputations are managed online. One nail in the coffin of surveillance. We want to return the power of data back to the Users, and this is a good first step in our mission. Join us on this journey as we set new standards for trust and transparency in the digital world.

It’s our time.