A5096549086- Nutritional Studies and Diet
- Technology Adoption and User Behaviour
- Customer Service Quality and Loyalty
- Dietary Effects on Health
- Consumer Retail Behavior Studies
- Smart Agriculture and AI
Rangamati Science and Technology University
2023
Calorie burnt prediction by machine learning algorithm” aim to predict the number of calories an individual during physical activity using techniques. We collected a dataset that includes features such as heart rate, body temperature, and duration activity. used various models, including XGBoost, linear regression, SVM random forest, calorie burn based on 15,000 records with seven features. The results indicate XGBboost model can accurately minimum mean absolute error calories. This work...
This study draws upon experience at bKash Limited as part of the organizational improvements, focusing on practical insights gained from company. We chose to center evaluating Customer Satisfaction Level bKash’s Merchant Payment Facility within broader context “Customer towards Mobile Financial Services (MFS): A Study bKash.” The objective is explain operations system, assess user satisfaction, and propose enhancements for improved performance. paper highlights recommendations such upgrading...