Crowd Prediction at Various Public Places for Covid-19 Spread Prevention Employing Linear Regression

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S. Md. Riyaz Naik, Farooq Sunar Mahammad, Mulla Suleman, S Danish Hussain, S Waseem Akram, Narasimha Reddy, N Naresh


Input from a simple sensor-based people counters module is taken as training data for a Linear Regression and a K-Means model for predicting crowds at various public places. The influencing factor can be either time or distance and the outcome factor be crowd strength at a place. By training a Linear Regression and a K-Means algorithm, an efficient predictive model for crowd prediction can be created.   

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