import { ProjectCategory, ProjectInterface, ProjectStatus } from "@/lib/types"

export const mpcStats: ProjectInterface = {
  id: "mpc-stats",
  image: "mpc-stats.png",
  name: "MPCStats",
  category: ProjectCategory.APPLICATION,
  projectStatus: ProjectStatus.INACTIVE,
  section: "pse",
  content: {
    en: {
      tldr: "A framework for private and verifiable statistical analysis across multiple data providers.",
      description: `
## Overview
MPCStats is a framework that enables data consumers to query statistical computations across multiple data providers while ensuring privacy and result correctness. By integrating privacy-preserving technologies such as ZKP, MPC, and FHE, our goal is to provide tools and guidance for integrating privacy-preserving analysis into their workflows. We also aim to identify real-world applications that can benefit from this framework.
## Features
- **Privacy-preserving and verifiable statistical analysis**: Allows data providers to keep their inputs confidential while giving data consumers the assurance that computations are performed accurately and securely.
- **Data validity**: Integrates TLSNotary to authenticate inputs from verified web sources, ensuring data consumers can trust that data inputs are genuine and accurate.
## Use Cases
- **Cross-department data sharing and surveys**: Enables secure, private data sharing across government departments for streamlined operations and collaborative analysis.
- **Healthcare research**: Aggregates data from sources such as fitness apps and sleep trackers, allowing researchers to uncover relationships between health factors, such as fitness and sleep patterns.
- **Salary survey**: A verifiable and anonymous alternative to platforms like Glassdoor, where users can contribute salary data with privacy guarantees.
        `,
    },
  },
  links: {
    github: "https://github.com/MPCStats",
    website: "https://mpcstats.github.io/docs",
  },
  tags: {
    keywords: ["MPC", "statistics", "data analysis"],
    themes: ["build"],
    types: ["Legos/dev tools", "Lego sets/toolkits"],
    builtWith: ["MP-SPDZ", "tlsn", "python"],
  },
}
