LinkedIn-Project

A full-stack (MERN-style) LinkedIn-like platform providing social networking features, built with a Python backend and a modern JavaScript/Next.js frontend.

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Table of Contents

• Project Overview
• Tech Stack
• Project Structure
• Setup & Installation
• Usage
• License
• Contact

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Project Overview

LinkedIn-Project aims to provide core functionalities of a professional networking site, similar to LinkedIn. The project is divided into two main components:

• Backend: Handles the API, authentication, database operations, and core business logic using Python (likely Flask, given the presence of app.py).
• Frontend: The user interface is built using Next.js with TypeScript, Tailwind CSS, and a component-driven architecture.

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Tech Stack

• Frontend:

  • Next.js (React, TypeScript)
  • Tailwind CSS
  • Modern JavaScript/TypeScript toolchain

• Backend:

  • Python (Flask or FastAPI assumed from app.py)
  • Google Firebase (serviceAccountKey.json suggests cloud services integration)
  • RESTful API structure

• Other Tools:

  • ESLint, PostCSS
  • Environment management (.gitignore in both projects)

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Project Structure

linkedin-project/
├── backend/
│   ├── app.py                 \# Main backend server file
│   ├── requirements.txt       \# Backend dependencies
│   ├── serviceAccountKey.json \# Credentials for Firebase/cloud
│   └── .gitignore             \# Ignored backend files
│
└── frontend/
├── app/                   \# Frontend app logic
├── public/                \# Static files and assets
├── src/app/               \# Main React/Next.js code
├── package.json           \# Frontend dependencies
├── tailwind.config.js     \# TailwindCSS setup
├── next.config.ts         \# Next.js config
└── ...etc

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Setup & Installation

Prerequisites

• Node.js (latest LTS version)
• Python 3.8+
• pip (Python package manager)

Backend Setup

1. Navigate to the backend directory:

   cd backend
   

2. Install Python dependencies:

   pip install -r requirements.txt
   

3. Ensure serviceAccountKey.json is valid for Firebase services used.
4. Run the backend server:

   python app.py
   

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend
   

2. Install node dependencies:

   npm install
   

3. Start the development server:

   npm run dev
   

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Usage

• The backend will run (by default) on http://localhost:5000 (ensure to check or update as needed).
• The frontend will run on http://localhost:3000.
• Endpoints and UI routes to be documented as they are implemented.

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License

This project is currently for educational and personal portfolio use. Add license details as appropriate.

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Contact

Created by @nakul-verma2 — feel free to reach out for questions or collaboration!

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Note: Please update or expand sections as features and documentation evolve, including API endpoints, environment variables, deployment steps, and advanced usage.