BHARTIYA ANTARIKSH HACKATHON quality.pdf

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1. Team Name : CME FINDERS
Team Leader Name : Balkrishna Shukla
Problem Statement : Identifying halo CME events based on particle data from
SWIS-ASPEX payload onboard Aditya-L1

2. Team Members
Team Leader: Balkrishna Shukla
College: Engineering College Ajmer, Rajasthan

Team Member 1: Krishna Sharma
College: Engineering College Ajmer, Rajasthan

Team Member 1: Kavy Mishra
College: Engineering College Ajmer, Rajasthan

Team Member 1: Pulkit Kumawat
College: Engineering College Ajmer, Rajasthan

3. INTRODUCTION- HALO CME DETECTION WEB APP
•The idea is to create an early warning system that can detect Halo Coronal Mass Ejection (CME) events using real-
time particle data from the SWIS (Solar Wind Ion Spectrometer) instrument on board India’s Aditya-L1 mission.

•By analyzing time-series data such as particle flux, density, temperature, and velocity, we aim to identify key patterns
or thresholds that indicate a CME is occurring.

We have built a Python-based web application that uses simulated SWIS Level-2 data and mimics real-time
prediction of Halo CME events.

The app highlights potential CME zones using derived parameters like flux × density and temperature/speed, along
with live visual graphs.
This project showcases how Indian space data can be used in building automated space weather monitoring
systems, which will be extremely useful for satellite operators, communication systems, and space researchers.
Our aim to take real scientific data from Aditya-L1 and turn it into something meaningful and
usable - a working early-warning tool using programming and data analysis.
The idea that something I build could one day help protect ISRO’s satellites.
Inspired by ISRO, Driven by Data

4. How is it Different from Existing Ideas?

Current CME detection tools (e.g. CACTUS, NASA DONKI) are:
•Highly technical
•Often delayed
•Not easily accessible to the general public

Our solution is:
A first-of-its-kind real-time dashboard
Uses simulated Level-2 SWIS-ASPEX data from Aditya-L1
Designed for public use, researchers, and education
Provides a user-friendly interface for CME monitoring
How will it Solve the Problem?

Real-time visualization of:
Flux
Density
Temperature
Speed
Flags possible Halo CME events using
calculated thresholds

Benefits:
Researchers can monitor anomalies
instantly
Educators can use it as a teaching tool
Public agencies can prepare for space-
weather-related risks (e.g., GPS failure,
satellite issues)
USP of the Solution:
Inspired by Aditya-L1, India’s first solar mission
?????? Lightweight and built using:
Python + Flask + NumPy + Pandas
Fully deployable & open-source
?????? Real-time dashboard, unlike other static research portals
?????? Promotes space data democratization for common users

5. ?????? Real-Time CME Detection:
• Detects Halo CME events using simulated Level-2 SWIS-ASPEX data
• Calculates key parameters: flux, density, temperature, speed

?????? Interactive Graphs:
• Graphical trends of real-time and historical particle behavior
• Helps users visualize when CME thresholds are crossed

?????? Accessible Web Dashboard:
• Built with Flask & Python

?????? Intelligent Flagging:
• Uses logic-based thresholds to mark potential CME events
• Auto-updated results with time stamps
• Deployed on a live domain for public & research access

?????? Lightweight & Open Source:
• Portable, lightweight code base
• Hosted on GitHub with full documentation

ISRO Mission Aligned:
• Directly inspired by India’s Aditya-L1 mission
• Encourages educational interest in space weather & solar research

Features Offered by the Solution:

6. Process Flow Diagram Use Case Diagram

7. Mock Diagrams of the Proposed Solution:

8. PROTOTYPING SOLUTION

9. .
1.Frontend (User Interface)
• HTML/CSS/JavaScript: Provides a clean and interactive dashboard to
view real-time CME detection graphs and data.
• Charts.js / Plotly.js: Visualizes satellite data like flux, temperature, and
speed using graphs.
• Bootstrap: Ensures responsive design for both desktop and mobile
viewing.

2. Backend (Logic & Data Processing)
• Flask: Acts as the web server and handles API requests from the frontend.
• REST API Endpoint: /api/cme serves simulated Level-2 particle data for
real-time predictions.

3. Data Simulation
• NumPy & Pandas: Used for creating realistic particle data values such as
flux, density, temperature, and speed, along with CME flag logic.

4. Deployment
• PythonAnywhere: The app is hosted on a live Python server, accessible
globally via a public link.
• Gunicorn + WSGI: Helps the Flask app run on production-grade servers.

Technology Stack:

10. Implementation Cost:
Breakdown of Costs:

1.Hosting Platform (PythonAnywhere)
- For small projects and MVP testing, PythonAnywhere offers a
free tier that supports Flask apps.
- Estimated Cost: ₹0 (Free)

2.Domain Name (Optional)
- A custom domain name (like halocmedetector.in) can be
purchased for professionalism.
- Estimated Cost: ₹600–₹1000 per year (only if needed)

3.Development Tools
- All development was done using free and open-source tools
like VS Code, GitHub, Python, and Flask.
- Estimated Cost: ₹0

4.Data Access
- SWIS Level-2 particle data is freely available through ISSDC
(ISRO’s Space Science Data Center).
- Estimated Cost: ₹0

Benefits of the Halo CME Detection App

For Researchers
Access clean, visualized CME data in real-time
Simulate, analyze, and test thresholds with ease

For Students & Education
Learn how India’s Aditya-L1 data can be applied
in real use cases
Interact with solar science via code and web UI

For ISRO & Space Agencies
Potential base model for an automated early
warning system
Can reduce satellite damage risks via faster
alerts

For Public & Infrastructure Safety
Helps understand when communication
blackouts or navigation errors might occur
Public awareness of space weather threats

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Aditya-L1 Mission – ISRO
?????? https://www.isro.gov.in/Aditya_L1.html

ISSDC (ISRO Science Data Center)
?????? https://www.issdc.gov.in

SWIS Instrument – ASPEX Payload Info
?????? https://www.isro.gov.in/Aditya_L1.html

CACTus CME Catalog (SIDC Belgium)
?????? https://www.sidc.be/cactus/

Flask (Python Web Framework)
?????? https://flask.palletsprojects.com

NumPy (Numerical Library)
?????? https://numpy.org

Chart.js (Frontend Graph Library)
?????? https://www.chartjs.org

PythonAnywhere (Free Hosting Platform)
?????? https://www.pythonanywhere.com
References & Data Sources:
PROJECT LINK
https://bkshukla.pythonanywhere.com/