Integrate Real-Time Data for Predictions

[prachi137]

Integrate Real-Time Data for Predictions

Implemented real-time data integration for predictive models, enabling dynamic updates and more accurate forecasting. This feature allows the system to pull live data from various external APIs and seamlessly incorporate it into machine learning algorithms for time-sensitive decision-making. Key contributions include:

Developing and optimizing data pipelines to handle continuous streams of incoming data.
Implementing robust error-handling mechanisms to ensure data reliability and integrity.
Enhancing the prediction model's accuracy by leveraging the most current data.
Improving system scalability to accommodate high data throughput.

Utilizing modern libraries and frameworks (e.g., Pandas, NumPy, TensorFlow) for real-time data processing and model updates.
This improvement provides a foundation for better real-time decision-making and actionable insights.

[github-actions]

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