Shloka Shah

Software Development Engineer at HackerRank
Computer Science Undergraduate | B.Tech at Sardar Patel Institute Of Technology | 2021
Winter Intern'21 at HackerRank | GHCI'20 Scholar | SIH'20 Finalist
Mumbai, India
Deep Learning | ML Enthusiast | Web Development | Data Science | AWS

MeghNA

MeghNA is a cloud analytics engine offering cloud detection and cloud motion prediction on satellite images from INSAT 3D. This project was made as a part of SIH 2020. The problem statement is provided by ISRO.

 

Features

   1. Cloud detection with Mask RCNN and KNN

   2. Nowcasting: Cloud Motion Prediction with CNN+LSTM

   3. Cloud Classification

   4. Cloud Attributes

 

Technology Stack

   1. Frontend : Angular for the Webpage of Cloud Analytics Engine

   2. Mobile App : Flutter for the Mobile App Version

   3. Deep Learning: Tensorflow, Keras for Cloud Detection and Motion Prediction

   4. Backend : Django Rest Framework for the Backend API

   5. OpenCV for image processing

   6. Gdal and Rasterio for converting tif images to jpeg

   7. SQLite

 

Cloud Detection with Mask RCNN

Input image of Cloud

Snow

Detected Major Cloud protions

Forest


Cloud Motion Prediction with CNN+LSTM

Original Stream of Clouds

Snow

Predicted Stream of Clouds

Forest