Winner of best overall hack for the MAIS 2020 Hackathon!
This project was built for MAIS Hacks 2020, a 24 HR virtual AI hackathon. Our goal was to build a simple machine learning model to apply (MBTI) Myers-Briggs Type Indicators to Twitter users based on tweet data gathered from the Twitter API.
Project made with caffeine and tears by Nathalie, Elinor and Abu.
The dataset used to train the model was the (MBTI) Myers-Briggs Personality Type Dataset. The model makes a prediction based on data gathered from the users tweets and classifies them into one of the 16 MBTI types. The webapp is built on Flask, Bootstrap.
This repository contains the scripts used preprocess the data, train the model, and deploy the webapp.
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data/
- Data in csv format used to train the model.
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model/
- Contains Python files for the Twitter API, preprocessing data, and the script to build the model.
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static/
- CSS scripts.
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templates/
- HTML for the landing pages.
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webscraping/
- DataCollection/
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./
- Files used to deploy the app and a requirements.txt file.