isro-hackathon

AI-powered Help Bot that makes satellite data on MOSDAC easily searchable using natural language.

Solution for ISRO BAH 2026 (PS4): Occlusion-robust road extraction and graph-theoretic criticality analysis for urban mobility.

Agro-Vision – Multilingual AI Dashboard for Indian Farmers | Crop Health, Weather, Market Prices | AgriTech + AI | NDVI Satellite Integration

A Deep Learning-powered tool that maps rooftop solar potential by extracting building footprints from satellite imagery using a ResNet50-U-Net model

Bharatiya Antariksh Hackathon 2026 Submission: A physics-constrained AI pipeline for subsurface lunar water ice detection using Chandrayaan-2 DFSAR, OHRC, and IIRS data.

Fuses 2 low-resolution satellite frames (128×128) into a high-resolution image (384×384) using dual-branch SRCNN trained on 594 ESA PROBA-V scenes. Achieves PSNR 41.93 dB, SSIM 0.9633, NIQE 11.77 with blind-reference Spearman correlation of 0.82. Built for ISRO Bharatiya Antariksh Hackathon 2025 PS-12.

A native, cloud-ready 4-phase lunar mission control dashboard.

MA SOUMISSION

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

Physics-informed AIML and geospatial decision-support system to identify urban heat hotspots, quantify microclimate heating drivers, and run optimized scenario-based cooling interventions for urban heat island mitigation.

ISRO-BAH

my contribution to my team for iso bharatiya antariksh hackathon

Spatiotemporal Generative Modelling Using Latent Disffusion Models on Insat Dataset. Team ~ noisynebula

This is repository where we are testing our custom loss function on imbalanced earth satellite data

Bharatiya Antariksh Hackathon by ISRO, hosted by Hack2Skills.

This project was built as a part of the ISRO Bharatiya Antariksh Hackathon - 2024. This project proposes a novel windowing method to detect minor craters and boulders in ISRO's PSD4 formats which are nearly of 1Mx1M resolution in an efficient manner

Project Aether: An autonomous, air-gapped AI NOC Copilot for secure MPLS operations. It combines stochastic ML predictions with deterministic graph validation to predict and mitigate network failures with zero cloud dependency