Decentralized hiring & reputation protocol connecting candidates, reviewers & companies with DAO governance.

🩻 GitHub Repo : - https://github.com/Parv-01/Linked-Dao

🎨 Figma Flowchart : - https://www.figma.com/design/5fd24Of41mWKcQkOOkeNVQ/ETH-GLOBAL-Flow-Chart?node-id=0-1&t=YNw5WgQfSE8W8Q1D-1

🎨 Figma Wireframe : - https://www.figma.com/design/sNxzg0xQhDzMWmrLM8iZvI/Wireframe-ETH?node-id=0-1&t=S7ACeVllgvDFP7K1-0

Frontend

Data Architecture & Structures

Problem Statement

• Young candidates face difficulty in getting opportunities because companies demand prior experience.
• Companies, on the other hand, receive thousands of applications, making it hard to filter and identify the best candidates.
• There is no proper mechanism to reward reviewers/sponsors who help candidates get noticed and improve their chances.

Solution Overview

A rating-based ecosystem that connects candidates, reviewers, and companies to:

1. Give exposure to candidates based on performance and reviews.
2. Help companies filter quality candidates efficiently.
3. Provide incentives to reviewers/sponsors for their contributions.

Candidate Rating System

The candidate’s rating score evolves based on different milestones in the hiring process: