Mapie for Social Good During this pandemic

Mapie

Inspiration

The Global Pandemic and Swisscom Workshop

What it does

This project helps to reduce crowd across the Zurich city for the safety of people during this pandemic. We have created an app which tracks the crowd density of various places inside the city with the help of map. The user login in the app where the chatbot take data from user such as “which place they are visiting and the time frame”. Then this app will suggest different time frame or recommend similar points of interest to the user.

How we built it

For Front End : Made in React Js as the data for Homepage might get gigantic with use, so What better than React to handle heavy number of Components. The data that is rendered is fetched via APIs made in Flask

For backend: Rasa Core and Rasa NLU chatbot, Machine learning, python, pycharm

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Mapie

Built With

machine-learning
pycharm
python
rasa-core-and-rasa-nlu-cahtbot
rasa-core-and-rasa-nlu-chatbot
react

Submitted to

Created by

Made in React Js as the data for Homepage might get gigantic with use, so What better than React to handle heavy number of Components. The data that is rendered is fetched via APIs

Pratik Singh
I enjoy working on MERN stack. I really love Competitive Programming. Solved 500+ questions till now in C++
I worked on the backend part of the app. I created one chatbot Using Rasa nlu and Rasa core. In this chatbot I collected the data from the user and stored it into excel form. In backend I build the recommendation system. Chatbot calculate the crowd density for particular places with the help of data collected from the user. Then it suggests user different time frame to visit or recommend similar points of interest.

Shalini D
Machine Learning and Deep Learning Researcher