BlindHire – Bias-Free Skills-First Hiring Platform

Mission: Eliminate hiring bias by enabling companies to assess candidates purely on verified skill performance—no names, no photos, no degrees, no locations… until the final selection stage.

Project Overview

BlindHire is a full-stack web application that transforms traditional hiring into a fair, inclusive, and meritocratic process. By anonymizing candidate profiles and emphasizing verified skill tests, BlindHire helps recruiters focus solely on what truly matters: skills and performance.

Problem Statement

Traditional hiring is riddled with unconscious bias based on:

• Names
• Gender
• Educational background
• Geographic location
• Appearance

This leads to unfair rejections, especially for:

• Candidates from rural or remote areas
• Students from non-tier colleges
• Underrepresented groups in the workforce

Our Solution

BlindHire offers a skills-first, anonymous hiring platform, where:

• Recruiters only see performance metrics and skill demos.
• Candidate identity (name, gender, photo, location, etc.) is revealed only after shortlisting.
• All assessments are verified and trackable, promoting trust and accountability.

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Tech Stack

Frontend

• HTML5
• CSS3 (with glassmorphism and modern UI/UX)
• JavaScript (Vanilla JS)

Backend

• Node.js
• Express.js

Database

• MongoDB

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Features

For Candidates:

• Anonymous sign up (system-generated candidate ID)
• Submit skill assessments, coding tests, and project demos
• Build a blind profile with skills, scores, and feedback
• Track progress and feedback without revealing personal details
• View test stats and application progress in a glassy, high-contrast dashboard

For Employers:

• Post job roles with skill-based assessment criteria
• View anonymized candidate dashboards (no name, no gender, no college)
• Shortlist based solely on performance and verified skills
• Reveal candidate identity only after final selection
• Manage jobs, applications, and candidate pipelines

Admin Panel:

• Manage job posts, candidate assessment pipelines, and reports

Bias-Reduction Mechanisms:

• Anonymous skill submissions and job applications
• Skills-based evaluation (scoring, feedback, reveal system)
• Employers cannot see candidate identity until after evaluation
• Structured assessment and reveal workflow

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Folder Structure (Key)

BlindHire/
│
├── client/                # Frontend (HTML/CSS/JS)
│   ├── index.html         # Landing page
│   ├── employer.html      # Employer dashboard
│   ├── candidate.html     # Candidate dashboard
│   ├── admin.html         # Admin panel
│   ├── styles/
│   │   └── main.css       # Main styles (glassy UI, contrast, etc.)
│   ├── scripts/
│   │   ├── main.js
│   │   ├── employer.js
│   │   ├── candidate.js
│   │   └── ...
│   └── ... (other HTML pages)
│
├── server/                # Backend (Node.js/Express)
│   ├── app.js             # Entry point
│   ├── routes/            # API endpoints
│   ├── controllers/       # Business logic
│   ├── models/            # Mongoose models
│   └── middleware/        # Auth, validation, etc.
│
├── data/                  # Sample data, test data
├── config/                # DB and environment config
├── .env                   # Environment variables
├── package.json           # Project dependencies
├── README.md              # Project documentation
└── ...

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Setup & Usage

1. Clone the repository:

   git clone https://github.com/yourusername/blindhire.git
   cd blindhire

2. Install dependencies:

   npm install

3. Configure environment:
   • Copy .env.example to .env and set your MongoDB URI and other secrets.
4. Start the server:

   npm start

5. Open the app:
   • Frontend: Open client/index.html in your browser for the landing page.
   • Dashboards: Use /candidate.html or /employer.html for respective dashboards.

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UI/UX Highlights

• Glassmorphism (glassy backgrounds, blur, and bright contrast)
• High-contrast, accessible text and badges
• Responsive design for all devices
• Modern, clean, and bias-free interface

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Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

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License

MIT