Flood prediction Model

Priyanshi Singh posted an update — May 31, 2024 09:00 AM EDT

Update on Flood Prediction Model

Recent Enhancements:

1. Model Improvements: Implemented ensemble methods (Random Forest, Gradient Boosting, Neural Networks) and integrated real-time data streams.
2. Data Sources: Added satellite imagery and IoT sensor data, enhancing the data preprocessing pipeline.
3. UI Upgrades: Improved web application with a responsive design, interactive visualizations, and dashboards using Flask and Bootstrap.
4. API Development: Created robust RESTful APIs with enhanced security and scalability.
5. Performance Optimization:Tuned models for better accuracy and optimized server performance for real-time processing.

Future Plans:

1. Cloud Deployment: Plan to deploy on AWS or Azure for scalability.
2. Mobile Application: Developing a mobile app for flood predictions and alerts. 3.Community Collaboration: Partnering with local authorities and academic institutions for real-time alerts and continuous improvement.

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