Project title

AI based Prediction of Rainfall from Satellite Observation for Disaster Management

Submitted to:

  • Dr. Kuldeep Chaurasia

Submitted By:

  1. Unnam Tarun
  2. Guddanti Venkata Sai Sarala
  3. Komal Soni  

Project Description

The idea of this paper is to predict daily rainfall from satellite observation for disaster management using artificial intelligence. It uses multi-stacked LSTM for the prediction of daily rainfall. The model uses 40 years of NASA dataset of Yamuna Nagar district in Haryana, India during the period 1980 - 2020 for the training purpose. The results show that LSTM based neural networks are better alternative to forecast general weather conditions when compared with traditional methods.

Project Poster

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