Inspiration
We wanted to learn some about machine learning and time series forecasting.
What it does
The application uses a small LSTM model to predict the weather, and renders the information in a nice dashboard.
How we built it
We used js (express) and html for the frontend, and python (torch, flask) for the backend. We trained a model and then built an API endpoint for getting predictions from the model.
Challenges we ran into
Picking a good model architecture for the task was difficult.
Accomplishments that we're proud of
We learnt about time series forecasting and frontend UI


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