AI (XAI) based model for prediction of heavy /high impact rain events using satellite data
Development of Explainable AI (XAI) based model for prediction of heavy /high impact rain events using satellite data
Data Preparation: Aligning satellite images and meteorological data geospatially and temporally using Procrustes analysis and LSTM for time series analysis.
Image & Geospatial Processing: Preprocess data with OpenCV and GDAL for quality, ensure compatibility, and split it into training (historical) and testing (latest) datasets for modeling and evaluation.
Exploratory Data Analysis: In-depth EDA with visualization, correlation analysis, and time series examination to reveal data relationships and patterns.
CNN Model Development: Creating a CNN model with TensorFlow for weather condition classification based on image features. Integrate Explainable AI (XAI) via SHAP for model interpretability.
Web application: Create a sleek web app for image uploads and weather predictions, utilizing HTML, CSS, JavaScript, Angular.js. Deploy on AWS Elastic Beanstalk, maintain with Amazon CloudWatch. #sih2023 #smartindiahackathon #XAI #ML #heavyrain #isro #gulshangupta #sairam #sec
Hashtags: #XAI #based #model #prediction #heavy #high #impact #rain #events #satellite #data
Autor: UCzLS3PMVb8ACkwjw3_PAqPQ
Palavra Chave: meteorologia xai xai