Youth is a gift of God- Age is work of Art

What it does

Generates scores and classifies if the given statement/ input has an ESG indication.

How we built it

We used Python for programming and HugginFace- Transformers to create embeddings and calculate the similarity with the trained BERT model and user input.

Challenges we ran into

Creating embeddings proved to be time effective for a dataset of around 3 lacs and almost impossible with external servers.

Accomplishments that we're proud of

Managed to reach the end with the solution we thought of !

What we learned

Hackathons are the best and faster way to learn and utilize the perks of teamwork.

What's next for ESG_Grader

A Search Engine with ESG grading-based page ranking, and many more!

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