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An agentic calendar that schedules tasks according to womens' hormonal cycles to assist productivity.
Our project uses machine learning to predict stock trends, reducing error and boosting accuracy. With Random Forest and XGBoost, we provide actionable insights to aid traders in volatile markets.
