rangsimanketkaew / hotelfan

HotalPlan challenge at HackZurich 2023

Hotelfan

HackZürich 2023 project

Dataset

All data is provided in JSON format, with a supporting schema containing detailed field descriptions for data interpretation and manipulation. Data export contains all geographical and hotel data available to be booked on hotelplan.ch.$ In addition to the data supplied, external data sources such as Carbon Interface and AirVisual API are used.

Goal

Our goal is that, with the help of a chatbot, we can help the user choose the most suitable and climate-friendly trip.

Analyzing of user input

As planned we wanted to implement the analyzation of the user input with ChatGPT-4. While developing we was confrontent with some challanges. So we already prepared the information but didn't connect it to the frontend. In a later time we would investigate and fix it so we can have an even better user experience.

Prerequisites

• Python
• NPM

Uses

• React

Project setup

npm install

Compiles and hot-reloads for development

npm run serve

Compiles and minifies for production

npm run build

Lints and fixes files

npm run lint

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