NITH Mentorship Platform

Overview

The NITH Mentorship Platform is a comprehensive system designed to foster mentorship and career growth by connecting students, mentors, alumni, and admins. The platform includes role-based authorization, ensuring secure access for different user roles such as users, admins, and mentors. Key features include 1:1 mentorship sessions, resume reviews, and a space for alumni to share job opportunities.

Features

• Role-based authorization: Secure access for users, admins, and mentors with different permission levels.
• 1:1 mentorship sessions: Enables students to book sessions with mentors for personalized guidance.
• Resume reviews: Provides a space for mentors to review and offer feedback on resumes.
• Job postings: Allows alumni to post job openings, helping students with career opportunities.
• Responsive Design: Built with Tailwind CSS for a modern and responsive user interface.

Tech Stack

• Frontend: ReactJS, Redux, Tailwind CSS
• Backend: ExpressJS
• Database: MongoDB

Installation and Setup

Prerequisites

• Node.js (v12+)
• npm or yarn
• MongoDB instance

Steps to Setup:

1. Clone the repository:

   git clone https://github.com/tpstark137/nith-mentorship-platform.git

2. Navigate to the project directory:

   cd nith-mentorship-platform

3. Install frontend dependencies:

   cd client
   npm install

   or if using yarn:

   yarn install

4. Install backend dependencies:

   cd ../server
   npm install

5. Set up environment variables in a .env file (backend):

   MONGO_URI=your-mongodb-uri
   JWT_SECRET=your-jwt-secret
   PORT=5000

6. Run the backend server:

   npm start

7. Run the frontend development server:

   cd ../client
   npm start

8. Open your browser and navigate to http://localhost:3000 to use the application.

Usage

• User: Students can sign up, schedule 1:1 sessions, and request resume reviews.
• Mentor: Mentors can review resumes and conduct 1:1 sessions.
• Admin: Admins manage users, mentors, and job postings while controlling overall platform access.

Future Enhancements

• Adding a notification system for upcoming mentor sessions.
• Expanding mentorship topics and skill-based categorization.
• Integration with LinkedIn for easy profile access.
• Improved analytics for mentor-student interaction tracking.

License

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

Contributing

Contributions are welcome! Please submit a pull request or open an issue to share your suggestions.

Contact

For any queries or issues, feel free to contact:

• GitHub: tpstark137