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"Most Disruptive : Product", 2nd Place Overall at TartanHacks 2023 (CMU). "Effective Legal Inference Using Low-Cost BERT Language Model"

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mbulling/ContractShield

 
 

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ContractShield

NOTE: This is a forked copy of https://github.com/andrewschoi/TartanHacks2023

A legal aid for document inference using BERT language model. Won "Most Disruptive : Product" and 2nd overall at TartanHacks 2023 (hosted by CMU), Pittsburg's largest annual hackathon with over 100 participating team.

Tech Stack

Frontend: React Backend: Trained and deployed language model via AWS SageMaker using the Contract Understanding Atticus Dataset (CUAD). Integrated SageMaker endpoint with AWS Lambda and API Gateway.

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"Most Disruptive : Product", 2nd Place Overall at TartanHacks 2023 (CMU). "Effective Legal Inference Using Low-Cost BERT Language Model"

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