infini-satellite
Darshan DaivadnyaTitle: Multi-Modal Disaster Damage Assessment from Satellite and Social Media Data Description: Build a system that fuses satellite imagery and geotagged social media posts to generate a unified, prioritized damage severity map. Satellite imagery provides spatial coverage while social media posts contribute real-time human observations, and a dual-modality pipeline combines both to guide early resource deployment decisions. Domain: Disaster Response / Humanitarian Aid Expected Outcome: A working prototype that ingests both image patches and geotagged text, produces a severity score per area segment, and visualizes results as a layered damage map. Evaluation should include ablation results showing the individual and combined contribution of each modality.develop an responsive end to end working model in real time
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System Requirements
infini-satellite System Requirements Document
Introduction
The "infini-satellite" project aims to develop a multi-modal disaster damage assessment system that fuses satellite imagery with geotagged social media data. This system will generate a unified, prioritized damage severity map to aid in disaster response and humanitarian aid efforts. By integrating broad spatial coverage from satellite images with real-time human observations from social media, the project seeks to enhance situational awareness and guide early resource deployment decisions.
System Overview
The infini-satellite system will ingest both satellite imagery and geotagged social media posts. It will utilize a dual-modality pipeline to analyze and combine these data sources, producing a severity score for each area segment. The results will be visualized as a layered damage map, providing disaster response teams with critical insights for prioritizing resource deployment. The system will also include evaluation metrics to assess the individual and combined contributions of each modality.
Functional Requirements
- As a Disaster Response Team Member, I should be able to view a layered damage severity map to prioritize resource deployment.
- As a Data Analyst, I should be able to ingest satellite images and geotagged social media posts into the system.
- As a System Administrator, I should be able to manage data sources and ensure data integrity.
- As a Researcher, I should be able to evaluate the contribution of each data modality to the overall accuracy of the damage assessment.
User Personas
- Disaster Response Team Member: Utilizes the damage severity map to make informed decisions about resource allocation and deployment.
- Data Analyst: Responsible for ingesting and processing satellite and social media data.
- System Administrator: Manages the system's data sources and maintains data integrity.
- Researcher: Evaluates the system's performance and the effectiveness of data fusion.
Visuals Colors and Theme
- primary: #1E3A8A (Deep Blue)
- primary_light: #3B82F6 (Sky Blue)
- secondary: #F97316 (Vibrant Orange)
- accent: #10B981 (Emerald Green)
- highlight: #F59E0B (Amber)
- bg: #F3F4F6 (Light Gray)
- surface: rgba(255, 255, 255, 0.9) (Soft White)
- text: #111827 (Dark Gray)
- text_muted: #6B7280 (Muted Gray)
- border: rgba(209, 213, 219, 0.5) (Light Gray)
Signature Design Concept
The infini-satellite homepage will feature an interactive galaxy map where each star represents a different disaster event or data source. Users can click on a star to open a detailed view of the damage assessment for that area. The galaxy map will rotate and zoom as users navigate, providing a dynamic and engaging experience. This concept will be implemented using @react-three/fiber for 3D rendering and gsap for smooth animations and transitions. The interactive elements will allow users to explore data in an intuitive and visually appealing manner.
Interaction Model & Motion Direction
The landing page will utilize a "parallax" interaction model, creating a layered depth effect as users scroll through the content. Decorative elements such as atmospheric blobs and distant shapes will move at different speeds, enhancing the storytelling aspect of the page. Real content will remain in the normal flow, ensuring a natural scrolling experience. Internal pages, such as dashboards and settings, will adopt a "static" model to prioritize layout clarity and reading speed.
Non-Functional Requirements
- The system should support real-time data ingestion and processing.
- The user interface must be responsive and accessible across various devices and screen sizes.
- The system should ensure data security and privacy, particularly for sensitive social media data.
Tech Stack
- Frontend: React for Web
- Backend: Python, FastAPI
- Database: MySQL or MariaDB, with alembic for migrations
- AI Models: GPT 5.4 for user-friendly responses, Claude 4.6 Opas for academic or coding work
- AI Tools: Litellm for LLM Routing, Langchain
- Local Orchestration: Docker, docker-compose
- Server-side Orchestration: Kubernetes
Assumptions and Constraints
- The system assumes access to reliable satellite imagery and geotagged social media data.
- The system must operate within the constraints of data privacy regulations and ethical guidelines.
- The prototype will focus on a specific geographic region for initial testing and evaluation.
Glossary
- Dual-Modality Pipeline: A system that processes and combines two different types of data sources.
- Severity Score: A numerical value representing the level of damage in a specific area.
- Ablation Results: Analysis showing the impact of removing one or more components of a system to understand their contribution to the overall performance.
This document outlines the updated system requirements for the infini-satellite project, incorporating the user's request and context to ensure a comprehensive and tailored approach to disaster damage assessment.
Accelerate Disaster Response with AI-Powered Damage Assessment
Fuse satellite imagery with geotagged social media data to generate unified, prioritized damage severity maps. Enhance situational awareness and guide early resource deployment decisions in real time.
Explore the Disaster Galaxy
Each star represents a disaster event monitored by infini-satellite. Click any star to explore satellite imagery analysis, social media signals, and severity assessments in real time.
Welcome to the Disaster Galaxy
This interactive 3D map visualizes disaster events monitored by infini-satellite across the globe.
Three Pillars of Disaster Intelligence
Our dual-modality approach combines the speed of satellite imagery with the depth of human observations to deliver actionable damage assessments faster than ever before.
Real-Time Assessment
Process satellite imagery within minutes of capture. Our pipeline delivers near-instantaneous damage classifications across affected regions, enabling rapid situational awareness when every second counts.
Human-Centered Insights
Geotagged social media posts provide ground-truth validation that satellites alone cannot capture. Eyewitness reports, photos, and crowd signals surface the human impact behind every pixel.
Unified Severity Map
Our dual-modality fusion engine combines satellite-derived damage scores with social media severity signals into a single, prioritized damage map that guides resource deployment decisions.
Everything You Need for Disaster Intelligence
Six core capabilities that transform raw satellite imagery and social media streams into actionable damage assessments, helping response teams save lives faster.
Dual-Modality Pipeline
Fuse satellite imagery with geotagged social media data through a unified analysis pipeline, producing richer damage assessments than either source alone.
Severity Scoring
Automated severity classification from 1-5 for every assessed area segment, powered by deep learning models trained on historical disaster datasets.
Multi-Region Support
Deploy assessments across any global region with localized satellite coverage and multilingual social media ingestion in 40+ languages.
Real-Time Ingestion
Stream satellite passes and social media feeds in real-time with sub-minute latency, ensuring your damage map reflects the latest ground conditions.
Collaborative Insights
Share damage assessments across teams with role-based access, annotation layers, and real-time collaboration on the unified damage map.
Audit Trail
Every data point, model decision, and severity update is logged with full provenance tracking for compliance, review, and post-event analysis.
From Raw Data to Rapid Response
Four streamlined steps transform satellite imagery and social media signals into actionable disaster intelligence.
Ingest
Fuse satellite imagery with geotagged social media posts into a unified data stream.
Analyze
Dual-modality pipeline cross-references spatial coverage with real-time ground reports.
Score
Each area segment receives a severity score combining both satellite and social signals.
Deploy
Prioritized damage map guides rapid resource allocation to the hardest-hit zones.
Two Data Streams. One Unified View.
infini-satellite combines satellite imagery with geotagged social media to produce cross-validated damage severity maps in near real-time.
High-resolution orbital sensors capture wide-area damage patterns across entire disaster zones, providing calibrated spatial data.
- Wide-area spatial coverage across disaster zones
- Sub-meter resolution for structural analysis
- Multi-spectral bands detect hidden damage
- Revisit cadence: every 12-24 hours
Built for Every Stakeholder
From frontline responders to system architects, infini-satellite adapts to how each role interacts with disaster assessment data.
Disaster Response Team Member
"The layered damage map lets us see exactly where to deploy teams first — every minute counts in the field."
Flip for use casesKey Use Cases
- View prioritized damage severity maps to guide resource deployment decisions in real time
- Compare satellite-detected damage zones with social media ground reports for validation
- Coordinate multi-team response efforts using unified situational awareness overlays
Data Analyst
"Fusing satellite imagery with geotagged social posts gives us a damage picture no single source could provide."
Flip for use casesKey Use Cases
- Ingest and pre-process satellite imagery alongside geotagged social media posts
- Run the dual-modality pipeline to generate fused severity scores per area segment
- Monitor data quality metrics and flag anomalies before they reach the damage map
Researcher
"Ablation studies prove each modality adds unique value — the fusion approach consistently outperforms single-source baselines."
Flip for use casesKey Use Cases
- Evaluate individual and combined modality contributions via ablation result dashboards
- Benchmark model accuracy across disaster types using standardized evaluation metrics
- Export detailed performance reports for peer-reviewed publication and grant proposals
System Administrator
"Centralized data source management and audit logs keep our pipeline reliable and compliant."
Flip for use casesKey Use Cases
- Manage satellite and social media data source configurations with integrity checks
- Monitor system health, pipeline throughput, and alert thresholds from a unified admin view
- Control user access permissions and review audit logs for regulatory compliance
Trusted by Global Response Teams
Disaster response organizations, research institutions, and NGOs rely on infini-satellite to deliver actionable damage assessments when every second counts.
infini-satellite transformed our response to Cyclone Mocha. Within hours of landfall, we had a unified damage severity map fusing satellite imagery with on-the-ground social media reports. Resource deployment that previously took days was completed in under 12 hours.
Ready to Accelerate Response?
Harness the power of dual-modality intelligence fusing satellite imagery with real-time social media signals. Deploy resources faster, assess damage with greater precision, and save more lives when every second counts.
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