We wanted to create a tool that helps bridge the technological gap that's prevalent today.
What it does
Creates a small forecast of stock prices users can input and would show when it would rise or fall and the best time to sell
How I built it
Using Tensorflow, python as well as jupyter notebooks to create time series models to forecast
Challenges I ran into
Get the data and running a model successfully to have a high accuracy rate. Avoiding any data bias as well as correctly collecting data and forecasting responsibly
Accomplishments that I'm proud of
Creating my First LTSM neural network as well as running an ML algorithm from scratch
What I learned
How to run Tensorflow as well as developing a ML model from scratch
What's next for Invest-In.me
Creating a fully-fledged website from our concept picture as well as something that mimics the plugin. Adding more robustness to our model and making more accurate.