Smart india hackathon project title slid

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1. Ground water level prediction in India Authors Dr.Abrar Ahmed K Dr.inmul hussain R Z Dr.Md Sajid Rahul b

2. Introduction Background on water scarcity issues Significance of accurate water availability analysis Brief overview of proposed solution using KNN, SVM and RF models

3. Problem Statement Detailed explanation of the challenges Differentiate analysis for finding water availability, managing and distributing To identify water availability using remote sensed pre-collected data and show water print area with larger resolution

4. Architecture

5. Methodology Overview of Support Vector Machine and Random Forest models Explanation of how these models are applied to predict water availability Features considered in the models were KNN of accuracy- 78%, SVM of accuracy-84% and RF of accuracy- 92%

6. Result

7. Reference

8. Future Implementation More refined water availability models can be developed to predict future water availability in different scenarios Interpret more on case studies in region wise to examine special factors that influence water availability Development and evaluation of management policies and interventions of India

9. Conclusion Districts such as Villupuram, Thiruvallur and Cuddalore , will need to use conservative ground water measures Water distribution in these districts should prioritize drinking water and essential needs Invest in water distribution infrastructure to reduce losses

10. Q/A Thank you !!!