Set up the infrastructure and Cloud server infrastructure using AWS to store telemetry and run predictive models.

Web and Mobile application development to track usage and deliveries using IOS/Android

Built a time-series forecasting model with TensorFlow (LSTM-based) to accurately predict the next refilling date for domestic/industrial gas cylinders based on historical consumption patterns