StockTalk

Inspiration

The inspiration comes from sustainable investing, where we advise to invest based on sentiment around the company or organization at the time

What it does

Connected to Twitter API to search for all tweets within the past week with a certain keyword
Used Co:here Text Classification Algorithm to classify tweets as positive or negative
Once the user enters in a company name, the program searches for tweets with that keyword, classifies each tweet as positive or negative, and then recommends the user to invest if the tweets are mostly positive.

How we built it

We built the web app using Python and the Cohere technology and scraping tweets data from the Twitter API

Challenges we ran into

One of the challenges we ran into was gaining access to the tweets from the Twitter API as we initially had limited to access to the API. After troubleshooting and a number of further access requests to the Twitter API in the developer portal, we were able to gain the access we needed and gather the tweets crucial to the development of our project.

Accomplishments that we're proud of

Learned a new ton of technologies in a short span of time and be able to put everything together into a fully functional web app

What's next for StockTalk

The exciting features coming next for StockTalk is developing customized recommendation systems for our users to help them lay on the beach while the money speaks for itself!