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A web application filtering Subway outlets in Kuala Lumpur, Malaysia using Natural Language with AI. Built using React, FastAPI and LangChain with OpenAI.

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kyleong/mindhive-subway

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Mindhive Subway

A web application designed to visualize Subway outlets in Kuala Lumpur, Malaysia. Built using React and FastAPI.

Features include an AI-powered query system that enables users to inquire about the locations and operating hours of Subway outlets.

Data retrieved from the Subway website, processed, and stored in a database.

Demo video

image *Red pin - default, Blue pin - selected, Green pin - highlighted*

Please refer to the /client and /server directories for instructions on installation and execution

Tech stacks

Backend:

  • Python (version 3.9.5)
  • FastAPI - Backend framework
  • SqlAlchemy - PostgreSQL ORM
  • Selenium - Web Scraping
  • Langchain Python SDK - SQL Database Agent (Postgres Dialect)
  • Google Geocoding - Latitude Longitude API

Frontend:

  • Typescript with Node JS (version 20.5.2)
  • React - Frontend framework
  • TailwindCSS - Styling
  • Zustant - State managament
  • React Google Maps @vis.gl/react-google-maps - Google Map

Deployment:

  • AWS RDS - Postgres Database
  • AWS EC2 - Code Runtime

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A web application filtering Subway outlets in Kuala Lumpur, Malaysia using Natural Language with AI. Built using React, FastAPI and LangChain with OpenAI.

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