Inspiration - inspiration from Dish Network Challenge. also, to help people who has social awkwardness and wanted others to help them being anonymous.
What it does- asks user to input the data or a question, secondly posts the data into twitter by a anonymous user. people can see the data or question posted and can comment on it without knowing who actually asked or posted the question.
How we built it-
We used Python flask api for hosting a webserver to consume data from user and post it anonymously on twitter using a twitter-bot. All rest calls for twitter api have been made using python tweepy api. The sentiment analysis on replies received on anonymous tweets is achieved using NLP module in python.
Challenges we ran into- nlp on recieved replies on twitter. also posting web server
Accomplishments that we're proud of- sucessfully completed the objective and project
What we learned- more about nlp and data anonymization
What's next for Go Anonymous
building more efficient way of user anonymity with more security.
Log in or sign up for Devpost to join the conversation.