TalentLink AI

Overview

TalentLink AI is an AI-powered recruitment platform that helps recruiters upload resumes, search candidates using natural language queries, analyze hiring insights, and manage talent efficiently.

The platform provides intelligent candidate discovery, AI-powered match insights, analytics dashboards, and resume management in a modern recruiter-focused interface.

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Features

• AI-powered smart candidate search
• Resume upload and parsing
• Talent pool management
• Candidate filtering and match scoring
• AI match insights
• Analytics dashboard
• Dark mode support
• Responsive UI
• JWT authentication

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Tech Stack

Frontend

• React.js
• Tailwind CSS
• Recharts
• Lucide React
• Vite

Backend

• Node.js
• Express.js
• MongoDB
• Mongoose
• Gemini AI API

Authentication

• JWT Authentication

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Project Structure

Frontend

src/
│
├── components/
├── constants/
├── hooks/
├── pages/
├── services/
├── utils/
├── assets/
└── App.jsx

Backend

backend/
│
├── controllers/
├── middleware/
├── models/
├── routes/
├── uploads/
├── utils/
└── server.js

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Complete Installation Guide

Step 1: Clone Repository

git clone <your-repository-url>

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Frontend Setup

Step 2: Navigate to Frontend Folder

cd frontend

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Step 3: Install Frontend Dependencies

npm install

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Step 4: Create Frontend Environment File

Create a .env file inside the frontend root folder.

Add the following:

VITE_API_URL=http://localhost:5000

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Step 5: Start Frontend Server

npm run dev

Frontend will run on:

http://localhost:5173

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Backend Setup

Step 6: Navigate to Backend Folder

cd backend

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Step 7: Install Backend Dependencies

npm install

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Step 8: Create Backend Environment File

Create a .env file inside the backend root folder.

Add the following:

MONGO_URI=your_mongodb_connection_string

PORT=5000

JWT_SECRET=your_secret_key

GEMINI_API_KEY=your_gemini_api_key

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Step 9: Start Backend Server

npm run dev

Backend will run on:

http://localhost:5000

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Running the Application

Start Backend

cd backend
npm run dev

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Start Frontend

cd frontend
npm run dev

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Available Modules

Home Dashboard

• AI-powered candidate search
• AI match insights
• Quick recruiter actions
• Recently added talent

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Talent Pool

• Candidate listing
• Skill-based filtering
• Experience filtering
• Domain filtering
• Candidate match scoring
• Candidate profile modal

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Insights Dashboard

• Talent analytics
• Skill distribution charts
• Experience breakdown
• AI hiring insights
• Expertise analysis

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Resume Upload

• PDF resume upload
• Drag and drop support
• Resume parsing
• AI-powered extraction

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Environment Variables

Frontend

VITE_API_URL=http://localhost:5000

Backend

MONGO_URI=your_mongodb_connection_string

PORT=5000

JWT_SECRET=your_secret_key

GEMINI_API_KEY=your_gemini_api_key

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Screenshots

Add screenshots for:

• Home Dashboard
• AI Smart Search
• Talent Pool
• Insights Dashboard
• Resume Upload

Example folder structure:

screenshots/
├── home.png
├── talent-pool.png
├── insights.png
└── upload.png

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Future Enhancements

• Resume ranking system
• Advanced AI recommendations
• Recruiter collaboration
• Email integration
• Role-based access
• Candidate bookmarking

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Author

Developed by Mohammad Mohiddin, Mehak Dua.