Sustainability Calculator

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  ss of neural network

Inspiration

We were inspired to challenge ourselves all with using new technologies that we were not all familiar with.

What it does

The Sustainability Calculator uses the binary cross entropy model to predict probabilities that classifies the sustainability of a company based on 8 different metrics.

How we built it

We preprocess the data by scaling, normalizing, or encoding it as needed. Split the data into training Preprocess the data by scaling, normalizing, or encoding it as needed. Split the data into training and testing sets using validation sets for tuning. We then trained the neural network using our training data. We assessed the model's performance on a separate test dataset using evaluation metrics like loss and accuracy.

Challenges we ran into

Neural networks require a large amount of training data to learn patterns. we repeatedly faced the question on how to properly train the model to learn the patterns effectively

Accomplishments that we're proud of

We are proud to have overcome the challenges of creating a website for the first time. This challenge facilitated the learning for our front end developers.

What we learned

Our front end developers acquired a great deal of hands on experience with UI implementation while our back end developers were able to get very valuable experience with machine learning models using neural networks, TensorFlow, NumPy and many other tools to create a functioning machine learning system

What's next for Sustainability Calculator

We hope to further develop our skills to recreate the sustainability calculator to

Built With

• csv
• numpy
• pandas
• streamlit
• tensorflow