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πŸ’Ό Career Guidance Engine - Backend Server

Repository: Mentorship-server

A comprehensive Node.js backend server powering an intelligent career guidance and mentorship platform. Built with Express.js, MongoDB, and enhanced with Google's Gemini AI to deliver personalized career recommendations and mentorship experiences.

🎯 Overview

The Career Guidance Engine serves as the core backend infrastructure for a modern mentorship platform, enabling students and professionals to discover career paths, connect with industry mentors, and access educational resources through AI-driven recommendations.

πŸš€ Key Features

🎯 Career Exploration

  • AI-powered career recommendations using Google Gemini API
  • Comprehensive job market insights and industry trends
  • Personalized career path suggestions based on skills and interests

πŸ§™β€β™‚οΈ Mentorship Platform

  • Seamless mentor-student matching system
  • Appointment booking and scheduling functionality
  • Real-time session management and tracking

πŸ“ Resource Management

  • Curated educational content and learning materials
  • Workshop and event management system
  • Downloadable resources with organized categorization

πŸ§‘β€πŸ’Ό Application Tracking

  • Job application submission and status monitoring
  • Unique tracking ID system for application management
  • Automated status updates and notifications

πŸŽͺ Events & Workshops

  • Comprehensive event management system
  • Registration and attendance tracking
  • Multi-format support (online/offline events)

🧠 AI-Powered Intelligence

  • Google Gemini API integration for career counseling
  • Natural language processing for personalized suggestions
  • Intelligent matching algorithms for mentor-student pairing

πŸ› οΈ Technology Stack

Category Technology
Runtime Node.js
Framework Express.js
Database MongoDB with Mongoose ODM
Authentication JWT (JSON Web Tokens)
AI Integration Google Gemini API
Email Service Nodemailer
File Handling Multer
Security bcrypt, CORS, Helmet

⚑ Quick Start

Prerequisites

  • Node.js (v16+ recommended)
  • MongoDB (local or Atlas)
  • Git

Installation

# Clone the repository
git clone https://github.com/ujjwaljha1/Mentorship-server.git
cd Mentorship-server

# Install dependencies
npm install

Environment Configuration

Create a .env file in the root directory:

# Server Configuration
PORT=3001
NODE_ENV=production

# Database
MONGODB_URI=mongodb+srv://your-connection-string

# Authentication
JWT_SECRET=your-secure-jwt-secret

# AI Integration
GEMINI_API_KEY=your-gemini-api-key

# Email Configuration
SMTP_HOST=your-smtp-host
SMTP_PORT=587
SMTP_USER=your-email
SMTP_PASS=your-password

Launch Server

# Development mode
npm run dev

# Production mode
npm start

Server will be accessible at http://localhost:3001

πŸ“‘ API Architecture

Core Endpoints

Endpoint Description Authentication
/api/auth/* User authentication and authorization Public/Protected
/api/careers/* Career data and AI recommendations Protected
/api/mentors/* Mentor management and booking Protected
/api/applications/* Job application tracking Protected
/api/workshops/* Event and workshop management Protected
/api/resources/* Educational resource access Protected

Authentication Flow

graph TD
    A[User Registration] --> B[Email Verification]
    B --> C[Login Request]
    C --> D[JWT Token Generation]
    D --> E[Protected Resource Access]
    E --> F[Token Validation]
    F --> G[Resource Delivery]
Loading

Sample API Calls

Authentication

# User Registration
POST /api/auth/signup
Content-Type: application/json

{
  "username": "johndoe",
  "email": "john@example.com",
  "password": "securePassword123",
  "name": "John Doe"
}

Career Recommendations

# Get AI-Powered Career Suggestions
POST /api/careers/suggestions
Authorization: Bearer <token>
Content-Type: application/json

{
  "interests": ["technology", "problem-solving"],
  "skills": ["programming", "analysis"],
  "experience": "beginner"
}

Mentor Booking

# Book Mentorship Session
POST /api/mentors/book-appointment
Authorization: Bearer <token>
Content-Type: application/json

{
  "mentorId": "mentor_id_here",
  "preferredDate": "2024-01-15",
  "sessionType": "career_guidance"
}

πŸ”’ Security Implementation

Multi-Layer Security

  • Password Encryption: bcrypt hashing algorithm
  • JWT Authentication: Stateless token-based authentication
  • Role-Based Access Control: User, Mentor, Admin hierarchies
  • Input Validation: Comprehensive request sanitization
  • CORS Protection: Cross-origin request management
  • Rate Limiting: API endpoint protection against abuse

Security Best Practices

// Password hashing example
const hashedPassword = await bcrypt.hash(password, 12);

// JWT token generation
const token = jwt.sign(
  { userId: user._id, role: user.role },
  process.env.JWT_SECRET,
  { expiresIn: '24h' }
);

πŸ“Š Database Schema

Core Models

User Model

{
  username: { type: String, required: true, unique: true },
  name: { type: String, required: true },
  email: { type: String, required: true, unique: true },
  password: { type: String, required: true },
  role: { type: String, enum: ['User', 'Mentor', 'Admin'] },
  profile: {
    jobTitle: String,
    experience: Number,
    skills: [String],
    interests: [String]
  },
  timestamps: true
}

Career Model

{
  jobTitle: { type: String, required: true },
  industry: String,
  averageSalary: String,
  requiredSkills: [String],
  jobOutlook: String,
  description: String,
  companies: [String]
}

πŸ”§ Development & Deployment

Development Workflow

# Run in development mode with auto-reload
npm run dev

# Run tests
npm test

# Code linting
npm run lint

# Production build
npm run build

Docker Deployment

FROM node:16-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
EXPOSE 3001
CMD ["node", "index.js"]

Cloud Deployment Options

  • Heroku: Easy deployment with Git integration
  • AWS EC2: Scalable cloud hosting
  • Digital Ocean: Cost-effective VPS hosting
  • Railway: Modern deployment platform

πŸ“ˆ Performance & Monitoring

Performance Optimization

  • Database indexing for faster queries
  • Response caching for frequently accessed data
  • Pagination for large dataset handling
  • Connection pooling for database efficiency

Monitoring Features

  • Request/response logging
  • Error tracking and reporting
  • Performance metrics collection
  • API usage analytics

🀝 Integration Partners

Connected Applications

Third-Party Integrations

  • Google Gemini AI: Career recommendation engine
  • Email Services: Automated notifications
  • Cloud Storage: Resource and file management
  • Analytics: User behavior tracking

πŸ§ͺ Testing & Quality Assurance

Testing Strategy

# Unit tests
npm run test:unit

# Integration tests
npm run test:integration

# API endpoint testing
npm run test:api

# Load testing
npm run test:load

Code Quality Tools

  • ESLint for code standardization
  • Prettier for code formatting
  • Husky for pre-commit hooks
  • Jest for comprehensive testing

πŸ“š Documentation & Support

API Documentation

  • Comprehensive endpoint documentation
  • Request/response examples
  • Error handling guidelines
  • Authentication flow diagrams

Support Resources

  • Detailed setup instructions
  • Troubleshooting guides
  • FAQ section
  • Community forums

πŸš€ Future Roadmap

Planned Features

  • Advanced AI Integration: Enhanced career prediction models
  • Real-time Communication: WebSocket integration for live mentoring
  • Mobile API: Dedicated mobile application endpoints
  • Analytics Dashboard: Comprehensive platform insights
  • Multi-language Support: International platform expansion

Performance Enhancements

  • Redis caching implementation
  • GraphQL API development
  • Microservices architecture migration
  • Enhanced security protocols

🀝 Contributing

We welcome contributions from the developer community!

How to Contribute

  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 established coding standards
  • Write comprehensive tests for new features
  • Update documentation for API changes
  • Ensure backward compatibility

πŸ“„ License

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

πŸ“ž Contact & Support

Development Team

Support Channels

  • Issues: GitHub Issues for bug reports
  • Discussions: GitHub Discussions for community support
  • Email: Technical support via repository contacts

🌟 Star this repository if you find it helpful!

<<<<<<< HEAD Version: 1.0.0 | Last Updated: January 2024 | Node.js: v16+ | MongoDB: v4.4+

Version: 1.0.0 | Last Updated: January 2024 | Node.js: v16+ | MongoDB: v4.4+# Server

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A Node.js and Express backend powering the mentorship platform. Provides secure user authentication, mentor-student matching, profile management, and AI-powered career guidance using the Gemini API. Integrated with MongoDB for scalable data storage

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