Restaurant Recommendation System

A full-stack web application for restaurant recommendations with filtering and search capabilities. The dataset should be in .json format.

Prerequisites

• Python 3.10 or higher
• Node.js 14 or higher
• MongoDB
• Git

Installation & Setup

1. Clone the Repository

git clone https://github.com/PhaneeChowdary/RestaurantsRecommendation.git
cd RestaurantsRecommendation

2. Backend Setup

# Navigate to backend directory
cd backend

# Create virtual environment
python -m venv db_env

# Activate virtual environment
# On Windows:
db_env\Scripts\activate
# On macOS/Linux:
source db_env/bin/activate

# Install dependencies
pip install -r requirements.txt

# Create .env file with your MongoDB configuration
echo "MONGODB_URI=mongodb://localhost:27017
DB_NAME=restaurants_db" > .env

3. Frontend Setup

# Navigate to frontend directory
cd ../frontend

# Install dependencies
npm install

Running the Application

1. Start MongoDB

Ensure MongoDB is running on your system:

# On macOS/Linux
mongod

# On Windows
# Start MongoDB service through Windows Services

2. Start Backend Server

# In the backend directory with virtual environment activated
python app.py

The backend server will start on http://localhost:5001

3. Start Frontend Development Server

# In the frontend directory
npm start

The frontend will start on http://localhost:3000

Features

• Restaurant search by city
• Price range filtering
• Advanced filters for categories and amenities
• Restaurant details including ratings and reviews
• CRUD operations for restaurants
• Responsive design

API Endpoints

GET Endpoints

• GET /api/restaurants - Get restaurants with filters
• GET /api/categories - Get all available categories

POST Endpoints

• POST /api/restaurants - Create new restaurant

PUT Endpoints

• PUT /api/restaurants/<id> - Update restaurant

DELETE Endpoints

• DELETE /api/restaurants/<id> - Delete restaurant

Technology Stack

• Frontend: React.js, Tailwind CSS
• Backend: Flask, Python
• Database: MongoDB
• API: RESTful API
• State Management: React Hooks

Thank you