• Light, shows you a way to navigate through problems. We wished to present a solution to tackle low light photography which is a major feature in development over recent years.

What it does

  • See in the Dark

How we built it

  • Using Fully Convolutional Neural Network on pytorch for the model, Flask/HTML/CSS for the web app.

Challenges we ran into

  • We tried running our model natively on Android but couldn't do it due to image compatibility and ram issues. We converted it into a web app instead.

Accomplishments that we're proud of

  • We have created a small and efficient neural network model compared to existing solutions. We created a cool UI we are proud of.

What we learned

  • Modelling in PyTorch, HTML/CSS designing.

What's next for See in the Dark

  • Making it run real time on mobile device.
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