LocATE , AHP Restaurant Location Analysis

This project utilizes Python, Flask, and React to perform an in-depth analysis of New York City's zip code areas, helping users identify the optimal location to open a restaurant based on the category they choose.

Introduction

This project employs the Analytic Hierarchy Process (AHP) to simplify this decision-making process. Users can input their preferred restaurant category (e.g., Italian, Pizza, Burgers) and obtain recommendations for the most suitable NYC zip code areas to start their business.

Features

• AHP Analysis: Utilizes AHP to rank and prioritize optimal locations based on user-defined restaurant categories.
• Python Backend: Flask-based backend performs data analysis and calculation of optimal areas.
• React Frontend: Interactive user interface allowing users to input restaurant categories and visualize recommendations.
• NYC Zip Code Data: Utilizes NYC zip code area data to make informed recommendations.

Technologies Used

• Python
• Flask
• React
• AHP (Analytic Hierarchy Process)
• NYC Zip Code Data
• Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

License

• This project is licensed under the MIT License.