aditya-l1

Explore the detection and prediction of Halo Coronal Mass Ejections (CMEs) using Aditya-L1's Solar Wind Ion Spectrometer (SWIS) data. This project processes Level-2 data with Python to develop an early warning system for space weather, validated against the CACTUS database.

Where invisible fields leave traces.

A verifiable research platform for the Aditya-L1 SoLEXS and HEL1OS solar X-ray archive, publishing digest-addressed datasets, validation history, and reproducible flare-detection benchmarks.

Real-time solar flare nowcasting & forecasting using Aditya-L1 SoLEXS + HEL1OS multi-band fusion for ISRO Spectrum Hackathon

Aditya-L1-VELC-Solar-Corona-Analysis

TCN+TCAN ensemble for autonomous CME detection using Aditya-L1 ASPEX-SWIS plasma data. Blind test: P(CME)=0.87 on May 2026 event.

Nowcasting & forecasting of solar flares from ISRO Aditya-L1 (SoLEXS soft + HEL1OS hard X-rays), fused with 50+ global satellites for cross-validation & gap-filling. O(1) streaming detection (CUSUM + Poisson-FOCuS), Neupert-effect lead-time forecasting, offline dashboard, and a Cloudflare-edge real-time pipeline. ISRO BAH 2026 PS-15.

AI-powered mission control dashboard that predicts X-Class solar flares from ISRO Aditya-L1 (SoLEXS/HEL1OS) telemetry using a Neupert-Effect-informed Random Forest model, with a live 3D magnetosphere visualization.

Independent exploration of Aditya-L1 SUIT NB04 solar observations using Python-based SSAD processing for active-region segmentation, visualization, and quantitative analysis of the X6.3 solar flare on February 22, 2024.

AI-powered Space Weather Intelligence Platform for Solar Flare Forecasting & Nowcasting using ISRO's Aditya-L1 SoLEXS and HEL1OS telemetry with Explainable AI, interactive analytics, and automated scientific data pipelines.

Dual-channel solar flare nowcasting & forecasting from Aditya-L1 (SoLEXS + HEL1OS) — ISRO BAH 2026, PS-15