What it does
Helps solve the optimization of flight plans: e.g. 100 people from both A and B want to go to C If there are two flights, A->C and B->C, 1000 kg of CO2 is emitted But if the two flights are A->B and B->C only 800 kg of CO2 is emitted because A is closer to B than it is to C.
How we built it
We trained a neural network on a government dataset of flight data to predict how much time the plane would be flying between destinations. Wrote a flask app with MongoDB to provide UI.
Challenges we ran into
Training the neural network and integrating all of the systems together (flask, MongoDB, the AI model)
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