AI-Powered Recruiter Dashboard with Resume Intelligence & Candidate Analytics

[Ayan281]

Feature Proposal: AI-Powered Recruiter Dashboard with Resume Intelligence & Candidate Analytics

Problem Statement

Currently, the platform primarily focuses on helping candidates optimize resumes and improve ATS scores. However, there is no dedicated recruiter-side intelligence system for evaluating and managing applicants at scale.

Modern hiring platforms require more than resume analysis — recruiters need actionable insights, candidate ranking systems, analytics dashboards, and skill-gap visualization tools to streamline hiring decisions efficiently.

This enhancement would elevate the platform from a resume analyzer into a more complete AI-powered hiring ecosystem.

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Proposed Solution

Introduce a Recruiter Dashboard with advanced resume intelligence and analytics capabilities.

Core Features

1. Recruiter Role-Based Authentication

• Add separate recruiter login/signup flow
• Secure recruiter-only dashboard routes
• JWT-based protected access

2. Candidate Resume Intelligence

• View uploaded candidate resumes
• Extracted skills visualization
• ATS score comparison
• Missing skill analysis
• Candidate ranking system

3. AI Candidate Matching

• Match candidates against uploaded Job Descriptions
• Skill similarity scoring
• AI-generated suitability insights
• Recommended candidates leaderboard

4. Analytics Dashboard

Interactive dashboard with:

• Top in-demand skills
• Candidate distribution
• ATS score analytics
• Resume completion metrics
• Job-role wise statistics

5. SaaS-Level UI/UX Modernization

• Responsive dashboard redesign
• Modern analytics cards
• Interactive charts and progress indicators
• Enhanced accessibility and mobile responsiveness

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Technical Approach

Frontend

• React.js
• TailwindCSS
• Chart.js / Recharts
• Protected routes using React Router

Backend

• Node.js + Express
• JWT Authentication
• Resume parsing APIs
• MongoDB aggregation for analytics

AI Layer

• Resume-job semantic matching
• AI-based scoring and recommendation engine

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Expected Impact

This feature would:

• Transform the project into a complete AI hiring platform
• Improve recruiter usability significantly
• Introduce real-world SaaS architecture patterns
• Enhance the project’s scalability and portfolio value
• Create a more production-ready ecosystem for both candidates and recruiters

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Additional Notes

I would like to work on this enhancement under GSSoC '26.

I have prior experience building:

• AI-powered dashboards
• Resume intelligence systems
• Role-based authentication systems
• MERN stack SaaS applications
• Real-time analytics interfaces

I would be happy to first discuss the implementation scope with maintainers before starting development under GSSoc 2026.

[Vishakhayadavv]

Hey! I'm a GSSoC contributor and I'd love to work on this issue. I've gone through the codebase and have a good idea of how to approach it. Could you please assign it to me?