Inspiration

Crypto trading has been on the rise lately and more individuals and businesses are getting into it. With advanced tools and platforms, it can be hectic for the user to keep track of their portfolio and has higher chances of missing out on important updates in the crypto trading world. Technology has always impacted trading and fintech, so we wanted to find out an efficient platform to act as a third-party portfolio manager which helps the user to keep track of everything without compromising anything.

What it does

Bitzy connects to various crypto trading platforms and updates the information to provide meaningful insights to the user about their portfolio. Apart from keeping track of the portfolio details, up to date prices of various cryptocurrencies, Bitzy also provides live news updates from the crypto world, important alerts, and also real-time user services. But what distinguishes BItzy is the crypto price predictor, which uses the help of ML to analyze the trends in the market for effective trading.

How we built it

We used Scikit learn and python for building the ML model. Linear regression is used as the prediction algorithm. Flask and bootstrap are used for creating the web interface and backend and deployment was carried out using Heroku.

Challenges we ran into

Due to lack of time, we were unable to implement major functions like connecting APIs of trading platforms and also implementing customer support services. Prediction can be made better by implementing time series forecasting. But we will work on it in the future.

Accomplishments that we're proud of

We were able to create an efficient machine learning model even though we were not able to complete time series forecasting. And we are proud that we were able to deploy it successfully.

What we learned

Flask was one of the libraries which we were not so familiar with, but Bitzy helped us to gain moderate knowledge about flask.

What's next for Bitzy - Crypto Portfolio Manager

Bitzy is incomplete and we have to implement the above-mentioned features and also additional improvements for making the overall performance better.

Share this project:

Updates