A Web-App User Interface where the user can upload INSAT-3D IR Satellite Image of Cyclone which is then passed to our Deep Convolutional Neural Network built in PyTorch which is trained on Cyclone imagery of various intensities on our custom dataset curated from Raw INSAT-3D satellite captured images on MOSDAC server.
The CNN eliminates the need for usage of traditional methods for accurate center determination to estimate the Cyclone intensity using Satellite imagery.
The Model will return the estimated Intensity of satellite cyclone image in KNOTS instantly, the user would also have the option to upload metadata values like Datetime, latitudinal position, etc. for the Cyclonic event which will be stored in the Database pushing it in a archive of all past cyclonic events that have been inputted in the interface. User can view the past cyclonic events in the database with event-related metadata in the archive and visualize the imagery. Flask will be used to integrate the web-application together in Python.
Front-end: HTML , CSS, Bootstrap and JavaScript
Back-end: PostgreSQL, Flask, psycopg2 and Python
Machine-learning-pipeline: PyTorch
Team Leader Name: Sshubam Verma
Team Leader GitHub: Sshubam
Linkedin: https://www.linkedin.com/in/sshubam-verma-7b70bb19b/
DiscordTag: Sshubam#5388
Team Member Name: Vansh Comar
Team Member GitHub: vacom13
Twitter: vacom13
Linkedin: https://www.linkedin.com/in/vanshcomar/
DiscordTag: honeybubble#7906
Team Member Name: Amith Harish
Team Member GitHub: Amith0205
Linkedin: https://www.linkedin.com/in/amith-harish-59aa8221b/
DiscordTag: Amith#3879
Team Member Name: Ishank Jena
Team Member GitHub: ishankjena
Linkedin: https://www.linkedin.com/in/ishankjena/
DiscordTag: jenzen#6969
Home section: landing section of the website
Form section: used to pass the image to the model which computes intensity and forwards input data to the archive via database
Live Weather Map: made using Windy API, showing live wind patterns and redirects the map to the coordinates recieved as input, incase of a cyclone, highlights the area with strong wind pattern
Archive Table: displaying all previously uploaded data stored in database
Submitted Image: Would be displayed as
