01 — AUTONOMOUS SYSTEMS

ASTRA
GUARD

02 — CUBESAT AI

FAULT
RECOVERY

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03 — THE MISSION

Why Autonomy Matters

Satellites don't debug themselves. AstraGuard does.

Autonomous anomaly detection at 5Hz.

ML-powered fault classification in real-time.

Self-healing systems for deep space.

When ground control is 20 minutes away, autonomy is survival.

04 — PROJECT VARIANTS

AstraGuard Ecosystem

Intelligent API Rate Limiting Demo

Experience adaptive rate limiting that adjusts based on system health and provides graceful user feedback.

0
Total Requests
0
Queued Requests
System: healthy

System Health Metrics

CPU Usage
45.0%
Memory Usage
60.0%
Active Connections
120
Anomaly Score
5.0%

How It Works

  • • Click "Start Demo" to begin making API requests every second
  • • The system automatically adjusts rate limits based on backend health
  • • Watch notifications appear when rate limits are reached
  • • System health metrics update in real-time
  • • Requests are queued intelligently during high load

Federated Learning

Experience privacy-preserving distributed AI training. Train anomaly detection models across multiple nodes without sharing sensitive telemetry data.

Federated Learning Demo

Watch distributed AI training in action

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Rounds
0.0%
Global Accuracy
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Training Nodes
Round 0 of 10

Federated Network

Coordinator
Idle Node
Training Node
Coordinator

Node Details

Click on a node to view details

Privacy by Design

Local Training
Data never leaves your device
Model Updates Only
Share only model improvements
Differential Privacy
Add noise to protect individual data

Federated Learning

Privacy-preserving distributed anomaly detection

Connection Status

Disconnected

Training Status

Idle

Current Round

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Participants

0

Training Control

Training Metrics

Local Accuracy
0.0%
Local Loss
0.0000
Rounds Completed
0
Training Samples
0

Federation Participants

No participants found

Waiting for federation to form

Privacy Protected

Your telemetry data never leaves your device. Only model updates with differential privacy are shared.

Federated Learning Analytics

Model Accuracy Convergence

Participant Activity

Active Participants
Idle Participants

Multi-Cloud Anomaly Detection

Unified monitoring and recovery across AWS, Azure, and GCP. Detect and respond to anomalies with provider-agnostic strategies in hybrid and multi-cloud environments.

Multi-Cloud Anomaly Detection

Monitor and recover from anomalies across cloud platforms

Connected Cloud Providers

☁️
Amazon Web Services
3 anomalies • connected
🔷
Microsoft Azure
1 anomalies • connected
🌐
Google Cloud Platform
0 anomalies • disconnected
Total Anomalies
4
Critical Issues
1
Active Issues
2

Recent Anomalies

HIGHactive☁️ AWS
High CPU Usage

EC2 instance i-1234567890abcdef0 showing sustained high CPU utilization

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MEDIUMrecovering☁️ AWS
Network Latency

Increased latency detected in us-east-1 region

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LOWresolved☁️ AWS
Storage I/O

EBS volume vol-1234567890abcdef0 experiencing high I/O wait

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CRITICALactive🔷 AZURE
VM Performance

Azure VM experiencing memory pressure

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05 — TECHNICAL STACK

FASTAPIREACTSTREAMLITGRAFANAPYTHONPATHWAYTYPESCRIPTDOCKERPOSTGRESQLREDISPROMETHEUSWEBSOCKETSFASTAPIREACTSTREAMLITGRAFANAPYTHONPATHWAYTYPESCRIPTDOCKERPOSTGRESQLREDISPROMETHEUSWEBSOCKETSFASTAPIREACTSTREAMLITGRAFANAPYTHONPATHWAYTYPESCRIPTDOCKERPOSTGRESQLREDISPROMETHEUSWEBSOCKETSFASTAPIREACTSTREAMLITGRAFANAPYTHONPATHWAYTYPESCRIPTDOCKERPOSTGRESQLREDISPROMETHEUSWEBSOCKETS
ANOMALY DETECTIONISOLATION FORESTTELEMETRYSTATE MACHINEFAULT RECOVERYBDH MEMORYAGENTIC AI5HZ STREAMINGCUBESATAUTONOMYRESILIENCESELF-HEALINGANOMALY DETECTIONISOLATION FORESTTELEMETRYSTATE MACHINEFAULT RECOVERYBDH MEMORYAGENTIC AI5HZ STREAMINGCUBESATAUTONOMYRESILIENCESELF-HEALINGANOMALY DETECTIONISOLATION FORESTTELEMETRYSTATE MACHINEFAULT RECOVERYBDH MEMORYAGENTIC AI5HZ STREAMINGCUBESATAUTONOMYRESILIENCESELF-HEALINGANOMALY DETECTIONISOLATION FORESTTELEMETRYSTATE MACHINEFAULT RECOVERYBDH MEMORYAGENTIC AI5HZ STREAMINGCUBESATAUTONOMYRESILIENCESELF-HEALING