FoodieFind is a React-based web application that helps users discover local restaurants. It leverages the Google Maps API and Gemini API to offer location-based restaurant search and personalized recommendations.

• 🔍 Restaurant discovery
• 🗺️ Interactive map with pins
• 💬 Food recommendation chat
• 🥗 Restaurant visit planner

Follow these steps to run the FoodieFind project on your local machine:

Make sure you have Node.js (v14 or higher) and npm installed.

To verify installation, run:

node -v
npm -v

To install Node.js:

1. Visit https://nodejs.org/en
2. Download and install the LTS version of Node.js (includes npm)

Use SSH to clone the GitHub repository:

git clone git@github.com:CMPT-276-SPRING-2025/final-project-12-woods.git

Alternatively, you can use HTTPS:

git clone https://github.com/CMPT-276-SPRING-2025/final-project-12-woods.git

cd final-project-12-woods/foodiefind

Install all required packages:

npm install

Create a file named .env in the root of the foodiefind directory and add the following lines:

VITE_GOOGLE_MAPS_API_KEY=YOUR_GOOGLE_MAPS_API_KEY
VITE_GEMINI_API_KEY=YOUR_GEMINI_API_KEY

Google Maps API Key:

1. Go to Google Cloud Console
2. Create a new project (or select an existing one)
3. Enable the following APIs:
   • Maps JavaScript API
   • Places API
4. Go to APIs & Services > Credentials
5. Click Create API key
6. Copy the key and paste it in your .env file as VITE_GOOGLE_MAPS_API_KEY

Gemini API Key:

1. Visit https://aistudio.google.com/app/apikey
2. Sign in and generate a key
3. Copy the key and paste it in your .env file as VITE_GEMINI_API_KEY

🔐 Never commit your .env file to version control (it's included in .gitignore by default)

npm run dev

After the server starts, you should see output similar to:

  VITE vX.X.X  ready in XXX ms
  ➜  Local:   http://localhost:5173/

Visit the displayed URL in your browser to access the app.

⚠️ The port number may vary if 5173 is already in use.

• Live Website: FoodieFind
• Demo Video: Demo Video
• Final Report: Report

This project is licensed under the MIT license and is intended strictly for educational and training purposes.

http://localhost:5173/ ⚠️ Note: The port number may vary if 5173 is in use.