Contract Analysis using Machine Learning

The Contract Analysis using Machine Learning project involves building a system that can analyze contracts and identify key clauses, obligations, and risks using Machine Learning algorithms. The system will be able to automatically extract relevant information from contracts, reducing the manual effort required to review and analyze contracts. This project will be a valuable addition to the user's portfolio and has the potential to turn into a business in the future. The scope of this project includes data collection, feature engineering, model training, and clause identification. To enhance the project, additional steps such as model deployment, risk assessment, and user interface development can be included. The project will enable the user to develop skills in contract analysis, feature engineering, and model interpretability.