International Journal on Science and Technology
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Volume 17 Issue 2
April-June 2026
Indexing Partners
AI-Driven Multi-Sector Water Consumption Prediction and Optimization Using Intelligent Analytics and Gamified Behavioral Feedback
| Author(s) | Abhishek Kumar |
|---|---|
| Country | India |
| Abstract | The freshwater management has become a significant issue around the world since there is an aspect of growing population, growing urbanization, and climate changes. Conventional water monitoring systems can be very restrictive to their areas of operation, as well as offer a limited level of analytical power, thus limiting their potential to enhance sustainable use of water. In this paper, I have introduced WaterWise, which is a multi-sector water analytics platform based on AI to oversee, evaluate, and control the use of water in homes, industries, and farms. The suggested system consists of a combination of IoT-based data gathering, machine learning-related predictive analytics, and a gamified interaction system deployed in a single architecture. The platform utilizes the historical consumption data to come up with smart conservation advice and identify the wasteful behaviors of consuming water. The experimental assessment shows that the WaterWise system can have a better prediction accuracy and the operational efficiency than the traditional methods of monitoring used. Moreover, the gamified engagement model is very effective in motivating the user to participate more in water conservation activities. The findings reveal that the suggested platform offers a good and scalable solution to smart management of water resources and decision support based on sustainability. |
| Keywords | Artificial Intelligence, Smart Water Management, Water Consumption Analytics, IoT Monitoring Systems, Sustainability, Gamification. |
| Field | Computer Applications |
| Published In | Volume 17, Issue 2, April-June 2026 |
| Published On | 2026-04-05 |
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IJSAT DOI prefix is
10.71097/IJSAT
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