brew.ai

Table of Contents

• Introduction
• Features
• Installation
• Technologies Used

Introduction

Welcome to brew.ai - our coffee shop! This website allows users to browse various coffee ground bean products and obtain detailed information about each coffee type. Additionally, our site features an algorithm that helps customers determine the most suitable coffee ground bean based on their preferences, even if they are unsure of what they like.

Features

List the key features of your project.

• Browse a wide range of coffee ground bean products.
• View detailed information about each coffee product.
• Use our algorithm to find the most matched coffee ground bean based on user preferences.
• User-friendly interface for an enjoyable shopping experience.

Installation

Step-by-step instructions on how to install and set up your project locally.

# Clone the repository
git clone https://github.com/yourusername/brew.ai.git

# Navigate into the project directory
cd your-repo

# Install dependencies
npm install

# Navigate into the back-end directory
cd brew.ai/backend

# Create and activate a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

# Install dependencies
pip install -r requirements.txt

# Run the Flask server
flask run

# The server will be running on http://localhost:5000


# Navigate into the front-end directory
cd brew.ai/frontend

# Run the development server
npm run dev

# Open http://localhost:3000 with your browser to see the result.

Technologies used

1. Frontend:

• Next.js
• React.js

2. Backend:

• Flask