🚀 Career & Intern Finding System

A comprehensive Node.js backend system designed specifically for IT undergraduates struggling with career enhancements and finding proper internships. Built with AWS infrastructure for scalability and reliability.

🎯 Overview

This backend system serves as the foundation for a career-building platform that connects IT undergraduates with internship opportunities, career guidance, and skill development resources. The system is built to handle:

• Student Authentication & Profiles
• Company Registration & Management
• Internship Posting & Applications
• Career Guidance & Mentorship
• Skills Assessment & Tracking
• Real-time Notifications

✨ Features

For Students

• 🔐 Secure Authentication - JWT-based login/registration
• 👤 Profile Management - Skills, education, experience tracking
• 🔍 Internship Search - Filter by location, skills, duration
• 📄 Application Management - Track application status
• 📊 Progress Tracking - Career development metrics
• 💬 Mentorship Matching - Connect with industry professionals
• 🎓 Skill Assessments - Validate technical competencies

For Companies

• 🏢 Company Profiles - Detailed company information
• 📝 Internship Posting - Create and manage internship opportunities
• 👥 Candidate Management - Review and filter applications
• 📈 Analytics Dashboard - Track hiring metrics
• 🔔 Notification System - Real-time updates on applications

For Mentors

• 👨‍🏫 Mentor Profiles - Experience and expertise showcase
• 🤝 Student Matching - Connect with students based on skills
• 📚 Resource Sharing - Share career guidance materials
• 💼 Career Counseling - Provide personalized advice

🏗️ Architecture

Technology Stack

• Runtime: Node.js 18+
• Framework: Express.js
• Database: AWS DynamoDB
• Authentication: JWT (JSON Web Tokens)
• File Storage: AWS S3
• Notifications: AWS SNS
• Email Service: AWS SES
• Caching: AWS ElastiCache (Redis)
• API Gateway: AWS API Gateway
• Hosting: AWS Lambda + API Gateway (Serverless)

AWS Services Used

• DynamoDB - NoSQL database for user data, internships, applications
• S3 - File storage for resumes, company logos, documents
• SNS - Push notifications and email alerts
• SES - Email service for notifications and communications
• ElastiCache - Redis caching for improved performance
• API Gateway - API management and routing
• Lambda - Serverless compute for API endpoints
• CloudWatch - Monitoring and logging
• IAM - Identity and access management

📋 Prerequisites

• Node.js 18+ installed
• AWS Account with appropriate permissions
• Git installed
• Basic knowledge of REST APIs
• Understanding of AWS services (DynamoDB, S3, etc.)

🛠️ Installation

1. Clone the Repository

git clone https://github.com/yourusername/career-intern-system.git
cd career-intern-system

2. Install Dependencies

npm install

3. Set up Environment Variables

cp .env.example .env

4. Configure AWS Credentials

# Option 1: AWS CLI
aws configure

# Option 2: Environment Variables (see Configuration section)

5. Set up Database Tables

# Create all required DynamoDB tables
npm run setup:database

# Or create individually
node scripts/setup-students-table.js
node scripts/setup-companies-table.js
node scripts/setup-internships-table.js
node scripts/setup-applications-table.js

6. Start the Server

# Development mode
npm run dev

# Production mode
npm start

☁️ AWS Setup

1. Create AWS Account

• Sign up at AWS Console
• Complete account verification

2. Create IAM User

# Create user with programmatic access
# Attach policies:
# - AmazonDynamoDBFullAccess
# - AmazonS3FullAccess
# - AmazonSNSFullAccess
# - AmazonSESFullAccess

3. Set up DynamoDB Tables

The system uses multiple DynamoDB tables:

• students - Student profiles and authentication
• companies - Company profiles and details
• internships - Internship postings
• applications - Internship applications
• mentors - Mentor profiles
• skills - Skills catalog
• notifications - User notifications

4. Configure S3 Buckets

# Create S3 buckets
aws s3 mb s3://career-system-resumes
aws s3 mb s3://career-system-company-logos
aws s3 mb s3://career-system-documents

5. Set up SES for Email

# Verify your email domain in AWS SES
# Move out of sandbox mode for production

🚀 Deployment

Option 1: AWS Lambda + API Gateway (Serverless)

# Install Serverless Framework
npm install -g serverless

# Configure serverless.yml
# Deploy to AWS
serverless deploy

Option 2: AWS EC2

# Launch EC2 instance
# Install Node.js and dependencies
# Configure PM2 for process management
pm2 start ecosystem.config.js

Option 3: AWS ECS (Container)

# Build Docker image
docker build -t career-intern-system .

# Push to ECR
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <account-id>.dkr.ecr.us-east-1.amazonaws.com
docker tag career-intern-system:latest <account-id>.dkr.ecr.us-east-1.amazonaws.com/career-intern-system:latest
docker push <account-id>.dkr.ecr.us-east-1.amazonaws.com/career-intern-system:latest

# Deploy to ECS

📊 Monitoring & Analytics

CloudWatch Integration

• API response times
• Error rates
• Database performance
• Memory and CPU usage

Custom Metrics

• User registration rates
• Application success rates
• Popular internships
• Company engagement

🔒 Security Features

• JWT authentication with refresh tokens
• Rate limiting on API endpoints
• Input validation and sanitization
• File upload security (virus scanning)
• HTTPS enforcement
• CORS configuration
• SQL injection prevention
• XSS protection

🛠️ Development Tools

NPM Scripts

npm run dev          # Start development server
npm run build        # Build for production
npm run start        # Start production server
npm run test         # Run tests
npm run lint         # Check code quality
npm run format       # Format code
npm run migrate      # Run database migrations
npm run seed         # Seed database with sample data

Development Dependencies

• nodemon - Auto-restart server
• eslint - Code linting
• prettier - Code formatting
• jest - Testing framework
• supertest - API testing

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development Guidelines

• Follow ESLint configuration
• Write tests for new features
• Update documentation
• Follow conventional commit messages

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👥 Support

• Documentation: Wiki
• Issues: GitHub Issues
• Email: [email protected]
• Discord: Join our community

🎯 Roadmap

Phase 1 (Current)

• ✅ Basic authentication system
• ✅ Student and company profiles
• ✅ Internship posting and application
• ✅ Basic search and filtering

Phase 2 (Q2 2024)

• 🔄 Mentor system implementation
• 🔄 Advanced search with AI
• 🔄 Real-time chat system
• 🔄 Mobile app development

Phase 3 (Q3 2024)

• 📅 Video interviewing platform
• 📅 Skills assessment tests
• 📅 Career guidance AI
• 📅 Analytics dashboard

Phase 4 (Q4 2024)

• 📅 Machine learning recommendations
• 📅 Blockchain certificates
• 📅 API marketplace
• 📅 International expansion

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Made with ❤️ for IT undergraduates worldwide

Helping students build better careers, one internship at a time.