salil-gtm / smarttourister

We have developed a fully AI/ML-based itinerary recommendation system which when used by people coming to visit any place would allow them to better optimize their cost/time. We have 3 developed 3 inputs that are Scraping Twitter, UI Form, and FB Chatbot

SmartTourister

Demo - http://smarttourister.ml

Many times tourists do not plan their tours properly, hence end up making an ineffective and unnecessarily expensive trip. This platform has been made to find the best locations (ratings wise) in the city. It also gives an optimal sequence of visits (ratings wise). This will help the tourists to visit more spots in the same amount of time, therefore is beneficial to both the tourists & the authorities.

Installation

• From the root directory of the repository run npm install
• Change the api key in the index.js.
• Start the server by running node index.js.
• Go to http://localhost:8000 to access the portal.

Prerequisites

What things you need to install the software and how to install them

Python (>=Python 3.0)
Node
Flask

Running the Platform

*Run `node index.js`
*Go to http://localhost:8000 
*Fill the form with the details of the trip
*Of the list of places presented choose the desired destinations and submit.
*An roadmap will be presented which tells you the optimal sequence visits (ratings wise).

Built With

[Python]
[Flask]
[Node.js]
[HTML/CSS]
[NPM]
[ejs]

Future Works [WiP]

• Chat Bot Deployment on FB.
• Connecting Twitter Scrapping module to the itinerary recommendation over email.

Authors

• Salil Gautam - salil-gtm
• Shubham Verma - shubhamverma27
• Nishant Gore - NishantGore

License

This project is licensed under the MIT License - see the LICENSE.md file for details Acknowledgments

https://travel.sygic.com/en/b2b for APIs.
Made with ♥ during Rajasthan Hackathon-4.0 2018 in 36 hrs.